Verified Job
Engineering - Architecture
Google Data Architect
Engineering - Architecture
#802898
Remote / WFH
Slalom
Job Description
Qualifications
As a Data Architect in Slalom's Google COE, you will bring broad architecture experience, deep expertise in Google Cloud data engineering technologies, a curious mindset to client engagements, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges
You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom community
You enjoy solving complex data challenges, mentoring engineers, and building scalable, secure, cloud-native platforms
Google Cloud Platform (GCP) solution architecture and enterprise data platform design
Google BigQuery, BigLake, Cloud Storage, and Cloud SQL
Dataproc, Apache Spark, and distributed data processing patterns
Pub/Sub, Dataflow, Apache Kafka, and event-driven architectures
Cloud Composer / Managed Airflow, dbt, and modern data workflow orchestration
Dataplex, data governance, metadata management, and data quality patterns
Python, Java, SQL, and engineering best practices
Firestore, Bigtable, Spanner, MongoDB, and cloud-native database design
Google Kubernetes Engine (GKE), Cloud Run, CI/CD, DevOps, and Infrastructure as Code
Google Cloud Professional Data Engineer certification
Google Cloud Professional Cloud Architect certification
Looker, Looker Studio, and semantic modeling
Gemini Enterprise, Vertex AI, MLOps, and AI-enabled data architecture
Experience migrating from AWS, Azure, Teradata, Hadoop, Informatica, Snowflake, or legacy data platforms to Google Cloud
Benefits
As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability
We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance
Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range is $115k-$146k
The salary pay range is subject to change and may be modified at any time.
Responsibilities
Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures
Modern data platforms built on Google Cloud, including data lakes, lakehouses, and enterprise data warehouses
Streaming data platforms for real-time ingestion, event-driven architectures, and analytics
Data integration and orchestration using modern workflow and pipeline automation tools
Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud
AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases
As a Data Architect in Slalom's Google COE, you will work in collaborative teams with minimal oversight and direction to design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP)
You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services
You will help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations
Using that knowledge, your architecture expertise, Google Cloud experience, and ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and delivery of the client’s next generation Google Cloud Data Platform Solution
You will leverage your communication skills to clearly describe the trade-offs, benefits, risks, and implementation path of your solution design and drive the combined Slalom and client team to consensus
You are experienced at breaking down complex architecture into deliverable workstreams and will be responsible for quality completion of development items, ensuring they support the technical solution you designed
As time allows, you will participate in pre-sales activities including shaping Google Cloud data modernization approaches, defining technical solution options, supporting estimates and delivery plans, and partnering with business development teams to address prospect challenges
You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed
You also must be within commutable distance to one of the Slalom's listed office locations
Job description
Role: Google Data Architect
Who You’ll Work With:
At Slalom we co-create custom software, data, AI, and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:
• Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures.
• Modern data platforms built on Google Cloud, including data lakes, lakehouses, and enterprise data warehouses.
• Streaming data platforms for real-time ingestion, event-driven architectures, and analytics.
• Data integration and orchestration using modern workflow and pipeline automation tools.
• Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud.
• AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases.
What You’ll Do:
Slalom Google Data and AI is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
As a Data Architect in Slalom's Google COE, you will work in collaborative teams with minimal oversight and direction to design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP). You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services. You will help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations.
You will typically be responsible for understanding the client’s current environment, technical challenges, business outcomes, and future-state data strategy. Using that knowledge, your architecture expertise, Google Cloud experience, and ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and delivery of the client’s next generation Google Cloud Data Platform Solution.
You will leverage your communication skills to clearly describe the trade-offs, benefits, risks, and implementation path of your solution design and drive the combined Slalom and client team to consensus. You are experienced at breaking down complex architecture into deliverable workstreams and will be responsible for quality completion of development items, ensuring they support the technical solution you designed.
As time allows, you will participate in pre-sales activities including shaping Google Cloud data modernization approaches, defining technical solution options, supporting estimates and delivery plans, and partnering with business development teams to address prospect challenges.
• You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
• You also must be within commutable distance to one of the Slalom's listed office locations.
What You’ll Bring:
As a Data Architect in Slalom's Google COE, you will bring broad architecture experience, deep expertise in Google Cloud data engineering technologies, a curious mindset to client engagements, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges. You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom community.
You are passionate about Google Cloud and modern data architecture and continuously expand your skills through hands-on delivery, certifications, and collaboration across the Google COE. You enjoy solving complex data challenges, mentoring engineers, and building scalable, secure, cloud-native platforms.
• Google Cloud Platform (GCP) solution architecture and enterprise data platform design
• Google BigQuery, BigLake, Cloud Storage, and Cloud SQL
• Dataproc, Apache Spark, and distributed data processing patterns
• Pub/Sub, Dataflow, Apache Kafka, and event-driven architectures
• Cloud Composer / Managed Airflow, dbt, and modern data workflow orchestration
• Dataplex, data governance, metadata management, and data quality patterns
• Python, Java, SQL, and engineering best practices
• Firestore, Bigtable, Spanner, MongoDB, and cloud-native database design
• Google Kubernetes Engine (GKE), Cloud Run, CI/CD, DevOps, and Infrastructure as Code
Nice to have
• Google Cloud Professional Data Engineer certification
• Google Cloud Professional Cloud Architect certification
• Looker, Looker Studio, and semantic modeling
• Gemini Enterprise, Vertex AI, MLOps, and AI-enabled data architecture
• Experience migrating from AWS, Azure, Teradata, Hadoop, Informatica, Snowflake, or legacy data platforms to Google Cloud
About Us:
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Compensation and Benefits:
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range is $115k-$146k. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
EEO and Accommodations
Slalom is an equal opportunity employer and is commit
As a Data Architect in Slalom's Google COE, you will bring broad architecture experience, deep expertise in Google Cloud data engineering technologies, a curious mindset to client engagements, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges
You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom community
You enjoy solving complex data challenges, mentoring engineers, and building scalable, secure, cloud-native platforms
Google Cloud Platform (GCP) solution architecture and enterprise data platform design
Google BigQuery, BigLake, Cloud Storage, and Cloud SQL
Dataproc, Apache Spark, and distributed data processing patterns
Pub/Sub, Dataflow, Apache Kafka, and event-driven architectures
Cloud Composer / Managed Airflow, dbt, and modern data workflow orchestration
Dataplex, data governance, metadata management, and data quality patterns
Python, Java, SQL, and engineering best practices
Firestore, Bigtable, Spanner, MongoDB, and cloud-native database design
Google Kubernetes Engine (GKE), Cloud Run, CI/CD, DevOps, and Infrastructure as Code
Google Cloud Professional Data Engineer certification
Google Cloud Professional Cloud Architect certification
Looker, Looker Studio, and semantic modeling
Gemini Enterprise, Vertex AI, MLOps, and AI-enabled data architecture
Experience migrating from AWS, Azure, Teradata, Hadoop, Informatica, Snowflake, or legacy data platforms to Google Cloud
Benefits
As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability
We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance
Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range is $115k-$146k
The salary pay range is subject to change and may be modified at any time.
Responsibilities
Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures
Modern data platforms built on Google Cloud, including data lakes, lakehouses, and enterprise data warehouses
Streaming data platforms for real-time ingestion, event-driven architectures, and analytics
Data integration and orchestration using modern workflow and pipeline automation tools
Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud
AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases
As a Data Architect in Slalom's Google COE, you will work in collaborative teams with minimal oversight and direction to design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP)
You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services
You will help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations
Using that knowledge, your architecture expertise, Google Cloud experience, and ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and delivery of the client’s next generation Google Cloud Data Platform Solution
You will leverage your communication skills to clearly describe the trade-offs, benefits, risks, and implementation path of your solution design and drive the combined Slalom and client team to consensus
You are experienced at breaking down complex architecture into deliverable workstreams and will be responsible for quality completion of development items, ensuring they support the technical solution you designed
As time allows, you will participate in pre-sales activities including shaping Google Cloud data modernization approaches, defining technical solution options, supporting estimates and delivery plans, and partnering with business development teams to address prospect challenges
You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed
You also must be within commutable distance to one of the Slalom's listed office locations
Job description
Role: Google Data Architect
Who You’ll Work With:
At Slalom we co-create custom software, data, AI, and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:
• Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures.
• Modern data platforms built on Google Cloud, including data lakes, lakehouses, and enterprise data warehouses.
• Streaming data platforms for real-time ingestion, event-driven architectures, and analytics.
• Data integration and orchestration using modern workflow and pipeline automation tools.
• Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud.
• AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases.
What You’ll Do:
Slalom Google Data and AI is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
As a Data Architect in Slalom's Google COE, you will work in collaborative teams with minimal oversight and direction to design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP). You will architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services. You will help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations.
You will typically be responsible for understanding the client’s current environment, technical challenges, business outcomes, and future-state data strategy. Using that knowledge, your architecture expertise, Google Cloud experience, and ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and delivery of the client’s next generation Google Cloud Data Platform Solution.
You will leverage your communication skills to clearly describe the trade-offs, benefits, risks, and implementation path of your solution design and drive the combined Slalom and client team to consensus. You are experienced at breaking down complex architecture into deliverable workstreams and will be responsible for quality completion of development items, ensuring they support the technical solution you designed.
As time allows, you will participate in pre-sales activities including shaping Google Cloud data modernization approaches, defining technical solution options, supporting estimates and delivery plans, and partnering with business development teams to address prospect challenges.
• You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
• You also must be within commutable distance to one of the Slalom's listed office locations.
What You’ll Bring:
As a Data Architect in Slalom's Google COE, you will bring broad architecture experience, deep expertise in Google Cloud data engineering technologies, a curious mindset to client engagements, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges. You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom community.
You are passionate about Google Cloud and modern data architecture and continuously expand your skills through hands-on delivery, certifications, and collaboration across the Google COE. You enjoy solving complex data challenges, mentoring engineers, and building scalable, secure, cloud-native platforms.
• Google Cloud Platform (GCP) solution architecture and enterprise data platform design
• Google BigQuery, BigLake, Cloud Storage, and Cloud SQL
• Dataproc, Apache Spark, and distributed data processing patterns
• Pub/Sub, Dataflow, Apache Kafka, and event-driven architectures
• Cloud Composer / Managed Airflow, dbt, and modern data workflow orchestration
• Dataplex, data governance, metadata management, and data quality patterns
• Python, Java, SQL, and engineering best practices
• Firestore, Bigtable, Spanner, MongoDB, and cloud-native database design
• Google Kubernetes Engine (GKE), Cloud Run, CI/CD, DevOps, and Infrastructure as Code
Nice to have
• Google Cloud Professional Data Engineer certification
• Google Cloud Professional Cloud Architect certification
• Looker, Looker Studio, and semantic modeling
• Gemini Enterprise, Vertex AI, MLOps, and AI-enabled data architecture
• Experience migrating from AWS, Azure, Teradata, Hadoop, Informatica, Snowflake, or legacy data platforms to Google Cloud
About Us:
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Compensation and Benefits:
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range is $115k-$146k. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
EEO and Accommodations
Slalom is an equal opportunity employer and is commit
