Verified Job
Engineering - Architecture
Senior Technical Architect / Engineering Manager AI & Data Platforms
Engineering - Architecture
#717440
Remote / WFH
Beetloop Global Solutions Private Limited · Chennai, Tamil Nadu
Job Description
Job description
As a Senior Technical Architect / Engineering Manager specializing in AI & Data Platforms, your role will involve leading the design, development, and delivery of scalable AI-driven analytics platforms. You will be expected to leverage your deep expertise in data architecture, cloud technologies, and machine learning integration to manage cross-functional engineering teams effectively.
• *Key Responsibilities:**
- **Architecture & Solution Design:**
- Design end-to-end data architecture covering data ingestion, ETL pipelines, data modeling, data lakes / warehouses, BI, and analytics layers.
- Develop scalable, secure, and high-performance systems on cloud platforms.
- Architect multi-tenant and modular solutions for enterprise-grade applications.
- Drive system design decisions, performance optimization, and scalability planning.
- **AI & Advanced Analytics:**
- Integrate AI/ML capabilities such as LLM-based solutions, predictive analytics, anomaly detection models, and natural language analytics.
- Collaborate with data science teams to deploy and scale ML models.
- **Data Engineering & Platform Development:**
- Build and optimize ETL pipelines using modern data tools.
- Design robust data models and transformation frameworks.
- Ensure data quality, governance, and validation processes with large-scale datasets.
- **Engineering Leadership:**
- Lead and mentor cross-functional engineering teams (Data, BI, AI).
- Drive sprint planning, task allocation, and delivery execution.
- Establish coding standards, code reviews, and engineering best practices for timely delivery of high-quality solutions.
- **Integration & Security:**
- Design API-driven architectures and system integrations.
- Implement secure authentication mechanisms like JWT, OAuth, etc.
- Ensure compliance with enterprise security and data protection standards.
- **Stakeholder Management:**
- Collaborate with business stakeholders to understand requirements and provide strategic input for data-driven decision-making.
• *Required Skills & Qualifications:**
- **Technical Skills:**
- Strong expertise in system architecture, data engineering, cloud platforms (Azure / AWS / GCP).
- Hands-on experience with Azure Data Factory, Data lakes, ETL pipelines, Python, SQL, API design, and performance optimization.
- Proficiency in AI & Machine Learning, Analytics & Visualization, and Leadership & Soft Skills.
• *Preferred Qualifications:**
- Experience in multi-tenant SaaS platform architecture, DevOps practices, and domain experience in Finance, HR, Sales / Marketing Analytics, Supply Chain / Logistics.
- Bachelors degree in engineering / technology; Masters degree (MBA / Analytics / Data Science) preferred.
If you are interested in this challenging opportunity, kindly send your updated resume for consideration. As a Senior Technical Architect / Engineering Manager specializing in AI & Data Platforms, your role will involve leading the design, development, and delivery of scalable AI-driven analytics platforms. You will be expected to leverage your deep expertise in data architecture, cloud technologies, and machine learning integration to manage cross-functional engineering teams effectively.
• *Key Responsibilities:**
- **Architecture & Solution Design:**
- Design end-to-end data architecture covering data ingestion, ETL pipelines, data modeling, data lakes / warehouses, BI, and analytics layers.
- Develop scalable, secure, and high-performance systems on cloud platforms.
- Architect multi-tenant and modular solutions for enterprise-grade applications.
- Drive system design decisions, performance optimization, and scalability planning.
- **AI & Advanced Analytics:**
- Integrate AI/ML capabilities such as LLM-based solutions, predictive analytics, anomaly detection models, and natural language analytics.
- Collaborate with data science teams to deploy and scale ML models.
- **Data Engineering & Platform Development:**
- Build and optimize ETL pipelines using modern data tools.
- Design robust data models and transformation frameworks.
- Ensure data quality, governance, and validation processes with large-scale datasets.
- **Engineering Leadership:**
- Lead and mentor cross-functional engineering teams (Data, BI, AI).
- Drive sprint planning, task allocation, and delivery execution.
- Establish coding standards, code reviews, and engineering best practices for timely delivery of high-quality solutions.
- **Integration & Security:**
- Design API-driven architectures and system integrations.
- Implement secure authentication mechanisms like JWT, OAuth, etc.
- Ensure compliance with enterprise security and data protection standards.
- **Stakeholder Management:**
- Collaborate with business stakeholders to understand requirements and provide strategic input for data-driven decision-making.
• *Required Skills & Qualifications:**
- **Technical Skills:**
- Strong expertise in
As a Senior Technical Architect / Engineering Manager specializing in AI & Data Platforms, your role will involve leading the design, development, and delivery of scalable AI-driven analytics platforms. You will be expected to leverage your deep expertise in data architecture, cloud technologies, and machine learning integration to manage cross-functional engineering teams effectively.
• *Key Responsibilities:**
- **Architecture & Solution Design:**
- Design end-to-end data architecture covering data ingestion, ETL pipelines, data modeling, data lakes / warehouses, BI, and analytics layers.
- Develop scalable, secure, and high-performance systems on cloud platforms.
- Architect multi-tenant and modular solutions for enterprise-grade applications.
- Drive system design decisions, performance optimization, and scalability planning.
- **AI & Advanced Analytics:**
- Integrate AI/ML capabilities such as LLM-based solutions, predictive analytics, anomaly detection models, and natural language analytics.
- Collaborate with data science teams to deploy and scale ML models.
- **Data Engineering & Platform Development:**
- Build and optimize ETL pipelines using modern data tools.
- Design robust data models and transformation frameworks.
- Ensure data quality, governance, and validation processes with large-scale datasets.
- **Engineering Leadership:**
- Lead and mentor cross-functional engineering teams (Data, BI, AI).
- Drive sprint planning, task allocation, and delivery execution.
- Establish coding standards, code reviews, and engineering best practices for timely delivery of high-quality solutions.
- **Integration & Security:**
- Design API-driven architectures and system integrations.
- Implement secure authentication mechanisms like JWT, OAuth, etc.
- Ensure compliance with enterprise security and data protection standards.
- **Stakeholder Management:**
- Collaborate with business stakeholders to understand requirements and provide strategic input for data-driven decision-making.
• *Required Skills & Qualifications:**
- **Technical Skills:**
- Strong expertise in system architecture, data engineering, cloud platforms (Azure / AWS / GCP).
- Hands-on experience with Azure Data Factory, Data lakes, ETL pipelines, Python, SQL, API design, and performance optimization.
- Proficiency in AI & Machine Learning, Analytics & Visualization, and Leadership & Soft Skills.
• *Preferred Qualifications:**
- Experience in multi-tenant SaaS platform architecture, DevOps practices, and domain experience in Finance, HR, Sales / Marketing Analytics, Supply Chain / Logistics.
- Bachelors degree in engineering / technology; Masters degree (MBA / Analytics / Data Science) preferred.
If you are interested in this challenging opportunity, kindly send your updated resume for consideration. As a Senior Technical Architect / Engineering Manager specializing in AI & Data Platforms, your role will involve leading the design, development, and delivery of scalable AI-driven analytics platforms. You will be expected to leverage your deep expertise in data architecture, cloud technologies, and machine learning integration to manage cross-functional engineering teams effectively.
• *Key Responsibilities:**
- **Architecture & Solution Design:**
- Design end-to-end data architecture covering data ingestion, ETL pipelines, data modeling, data lakes / warehouses, BI, and analytics layers.
- Develop scalable, secure, and high-performance systems on cloud platforms.
- Architect multi-tenant and modular solutions for enterprise-grade applications.
- Drive system design decisions, performance optimization, and scalability planning.
- **AI & Advanced Analytics:**
- Integrate AI/ML capabilities such as LLM-based solutions, predictive analytics, anomaly detection models, and natural language analytics.
- Collaborate with data science teams to deploy and scale ML models.
- **Data Engineering & Platform Development:**
- Build and optimize ETL pipelines using modern data tools.
- Design robust data models and transformation frameworks.
- Ensure data quality, governance, and validation processes with large-scale datasets.
- **Engineering Leadership:**
- Lead and mentor cross-functional engineering teams (Data, BI, AI).
- Drive sprint planning, task allocation, and delivery execution.
- Establish coding standards, code reviews, and engineering best practices for timely delivery of high-quality solutions.
- **Integration & Security:**
- Design API-driven architectures and system integrations.
- Implement secure authentication mechanisms like JWT, OAuth, etc.
- Ensure compliance with enterprise security and data protection standards.
- **Stakeholder Management:**
- Collaborate with business stakeholders to understand requirements and provide strategic input for data-driven decision-making.
• *Required Skills & Qualifications:**
- **Technical Skills:**
- Strong expertise in
