Senior Data Architect

Title: Senior Data Architect

Years of Experience

Onsite

The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments.

Key responsibilities

• Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns
• Design logical and physical data models, semantic layers, and metadata frameworks
• Establish data quality, lineage, governance, and security policies
• Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks
• Integrate AI and analytics solutions with operational data platforms
• Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake
• Lead architecture reviews, design sessions, and CoE reference architecture development

Technical Skills

• Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift
• Data Modeling: ERWin, dbt, Power Designer
• Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark
• Integration: Azure Data Factory, Kafka, Event Grid, SSIS
• Metadata/Lineage: Purview, Collibra, Informatica
• BI Platforms: Power BI, Tableau, Looker
• Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA

Qualification

• Bachelors or Master’s in Computer Science, Information Systems, or Data Engineering
• Microsoft Certified: Azure Data Engineer / Azure Solutions Architect
• Strong experience building cloud-native data architectures
• Demonstrated ability to create data blueprints aligned with business strategy and compliance.