Description

Key Responsibilities

• Define and own the end-to-end data architecture for data products, from source ingestion through to consumption layers.
• Design and maintain conceptual, logical, and physical data models using erwin Data Modeler, ensuring consistency and alignment with enterprise standards.
• Lead the migration strategy and execution for moving data and workloads from Oracle to Snowflake, including schema conversion, data migration, validation, and performance tuning.
• Re-engineer and migrate existing IICS (Informatica Intelligent Cloud Services) workflows to Snowflake-native pipelines (e.g., Streams, Tasks, Stored Procedures, Snowpipe) or modern ELT patterns.
• Design and implement data products with clear ownership, documentation, SLAs, and reusability in mind.
• Establish and enforce data governance standards, including data quality, metadata management, lineage, cataloging, and access controls.
• Define data modeling standards and modern architecture patterns such as the Medallion architecture (Bronze/Silver/Gold).
• Implement role-based access control (RBAC), data security, and compliance measures within Snowflake.
• Partner with data engineers, analysts, and business stakeholders to align architecture with business and product goals.
• Provide technical leadership, conduct design/code reviews, and mentor engineering teams.
• Optimize for performance, scalability, and cost efficiency across the Snowflake platform.
• Create and maintain architecture documentation, data models, migration runbooks, and governance artifacts.

Required Skills & Qualifications

• Proven experience as a Data Architect designing and delivering enterprise data solutions.
• Hands-on experience implementing data products and data platform architectures.
• Strong hands-on experience with erwin Data Modeler for designing and managing enterprise data models.
• Strong experience in data governance (data quality, lineage, metadata, cataloging, access management).
• Practical experience with Oracle (data modeling, PL/SQL, performance tuning).
• Working knowledge of Snowflake (warehouses, stages, Streams, Tasks, Stored Procedures, Time Travel, RBAC).
• Experience with IICS (Informatica Intelligent Cloud Services) for data integration and ETL/ELT workflows.
• Hands-on experience with database/platform migration, ideally Oracle to Snowflake.
• Strong SQL skills, including complex queries and query optimization.
• Solid understanding of data warehousing concepts, dimensional modeling, and ELT best practices.
• Excellent communication skills and the ability to work with both technical teams and business stakeholders.

Good to Have (Preferred)

• Experience with cloud platform AWS and cloud storage (e.g., S3) for staging and integration
• Experience with schema conversion / migration accelerator tools (e.g., SnowConvert).
• Knowledge of Python or Snowpark for data transformation and automation.
• Exposure to CI/CD, Git-based workflows, and DataOps practices.
• SnowPro Advanced Architect certification

Key Skills

Education

Any Gradute