Senior Data Architect

Job Summary


We are seeking a highly experienced Senior Data Architect with expertise in both Microsoft Azure and AWS to lead the design, implementation, and optimization of enterprise-scale data platforms. The ideal candidate will define cloud data strategy, architect robust Data Lakes and Lakehouse solutions, oversee migration and modernization programs, and provide leadership to cross-functional teams on advanced analytics, AI/ML, and business intelligence initiatives.


This role demands deep knowledge of cloud-native architectures , data governance , Big Data engineering , and multi-cloud deployment best practices.

Key Responsibilities

• Multi-Cloud Architecture: Design and implement enterprise-grade data solutions across Azure and AWS environments.
• Data Platforms: Architect modern Data Lakes, Lakehouse, and Data Warehouse solutions for batch and real-time data processing.
• Data Migration & Modernization: Lead large-scale data migration initiatives, including on-premise to cloud, cloud-to-cloud, and legacy DW to modern platforms.
• Data Pipeline Design: Build scalable ETL/ELT pipelines leveraging cloud-native tools and distributed processing frameworks.
• Governance & Security: Establish data governance frameworks, access control policies, security best practices, and compliance for cloud environments.
• Performance & Cost Optimization: Monitor and optimize performance, storage, and cost of cloud data workloads.
• Technical Leadership: Guide and mentor data engineers, architects, and analytics teams; provide technical reviews and establish best practices.
• Stakeholder Collaboration: Work closely with business, analytics, AI/ML, and IT teams to translate business requirements into scalable technical solutions.

Required Technical Skills


Azure Expertise

• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Storage
• Azure Databricks
• Azure SQL Database

AWS Expertise

• Amazon S3
• AWS Glue
• Amazon Redshift
• Amazon EMR
• AWS Lambda

Other Key Skills

• Strong foundation in Big Data engineering concepts , distributed computing, Spark, partitioning strategies.
• Expertise in Data Lakes, Lakehouse, and Data Warehouses .
• Proficiency in SQL, Python, and Spark .
• Experience with real-time streaming frameworks (Kafka, Kinesis, Event Hub).
• Infrastructure as Code experience (Terraform, CloudFormation, ARM Templates).
• Deep understanding of cloud security, IAM/RBAC, encryption, networking, and compliance .
• Experience implementing CI/CD pipelines for data solutions.

Nice to Have

• Domain Experience: Insurance, Banking, or Healthcare, including policy, claims, underwriting, actuarial, or regulatory reporting.
• Large-scale data migration & modernization experience.
• Exposure to AI/ML integration and advanced analytics architecture.
• Knowledge of multi-cloud strategy and hybrid-cloud architectures.
• Familiarity with containerization and Kubernetes .
• Enterprise architecture experience (TOGAF or equivalent).

Preferred Certifications

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Solutions Architect - Professional
• TOGAF or equivalent (Optional)

Leadership & Soft Skills

• Strong stakeholder management and communication skills .
• Ability to lead cross-functional technical teams and drive architectural governance.
• Strategic thinking with focus on execution and delivery .

Mentorship and coaching experience for junior and mid-level data engineers and architects.


Job Summary


We are seeking a highly experienced Senior Data Architect with expertise in both Microsoft Azure and AWS to lead the design, implementation, and optimization of enterprise-scale data platforms. The ideal candidate will define cloud data strategy, architect robust Data Lakes and Lakehouse solutions, oversee migration and modernization programs, and provide leadership to cross-functional teams on advanced analytics, AI/ML, and business intelligence initiatives.


This role demands deep knowledge of cloud-native architectures , data governance , Big Data engineering , and multi-cloud deployment best practices.

Key Responsibilities

• Multi-Cloud Architecture: Design and implement enterprise-grade data solutions across Azure and AWS environments.
• Data Platforms: Architect modern Data Lakes, Lakehouse, and Data Warehouse solutions for batch and real-time data processing.
• Data Migration & Modernization: Lead large-scale data migration initiatives, including on-premise to cloud, cloud-to-cloud, and legacy DW to modern platforms.
• Data Pipeline Design: Build scalable ETL/ELT pipelines leveraging cloud-native tools and distributed processing frameworks.
• Governance & Security: Establish data governance frameworks, access control policies, security best practices, and compliance for cloud environments.
• Performance & Cost Optimization: Monitor and optimize performance, storage, and cost of cloud data workloads.
• Technical Leadership: Guide and mentor data engineers, architects, and analytics teams; provide technical reviews and establish best practices.
• Stakeholder Collaboration: Work closely with business, analytics, AI/ML, and IT teams to translate business requirements into scalable technical solutions.

Required Technical Skills


Azure Expertise

• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Storage
• Azure Databricks
• Azure SQL Database

AWS Expertise

• Amazon S3
• AWS Glue
• Amazon Redshift
• Amazon EMR
• AWS Lambda

Other Key Skills

• Strong foundation in Big Data engineering concepts , distributed computing, Spark, partitioning strategies.
• Expertise in Data Lakes, Lakehouse, and Data Warehouses .
• Proficiency in SQL, Python, and Spark .
• Experience with real-time streaming frameworks (Kafka, Kinesis, Event Hub).
• Infrastructure as Code experience (Terraform, CloudFormation, ARM Templates).
• Deep understanding of cloud security, IAM/RBAC, encryption, networking, and compliance .
• Experience implementing CI/CD pipelines for data solutions.

Nice to Have

• Domain Experience: Insurance, Banking, or Healthcare, including policy, claims, underwriting, actuarial, or regulatory reporting.
• Large-scale data migration & modernization experience.
• Exposure to AI/ML integration and advanced analytics architecture.
• Knowledge of multi-cloud strategy and hybrid-cloud architectures.
• Familiarity with containerization and Kubernetes .
• Enterprise architecture experience (TOGAF or equivalent).

Preferred Certifications

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Solutions Architect - Professional
• TOGAF or equivalent (Optional)

Leadership & Soft Skills

• Strong stakeholder management and communication skills .
• Ability to lead cross-functional technical teams and drive architectural governance.
• Strategic thinking with focus on execution and delivery .

Mentorship and coaching experience for junior and mid-level data engineers and architects.