Description

Key Skills: Data Architecture, AWS, Snowflake, Databricks, Redshift, Synapse, BigQuery, SQL, Python, Data Modeling, Data Governance, Data Warehousing

Roles & Responsibilities:

• Design and define enterprise data architecture and standards.
• Develop conceptual, logical, and physical data models.
• Architect scalable data warehouse, data lake, and lakehouse solutions.
• Design ETL/ELT pipelines and data integration frameworks.
• Define data flow, storage, security, and governance strategies.
• Establish data quality, metadata management, and data lineage processes.
• Support analytics, reporting, and AI/ML data platform initiatives.
• Optimize data platform performance, scalability, and reliability.
• Collaborate with business, engineering, and analytics teams.
• Provide technical leadership and guidance on data architecture best practices.
• Ensure compliance with data security and privacy requirements.

Experience Required:

• 10-18 years of experience in Data Engineering, Analytics, and Data Architecture.
• 5-8 years of experience in Data Architecture roles.
• Strong experience in enterprise data modeling and architecture design.
• Hands-on experience with AWS cloud data platforms.
• Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery.
• Strong SQL and Python development skills.
• Experience with data warehouse, data lake, and lakehouse architectures.
• Knowledge of ETL/ELT, data integration, and data governance frameworks.
• Experience with metadata management, data quality, and data lineage solutions.
• Familiarity with Collibra, Alation, Microsoft Purview, or Apache Atlas is an advantage.
• Scala experience is a plus.
• Strong leadership, communication, and stakeholder management skills.

Education: Any Post Graduation, Any Graduation

Key Skills

Education

Any Graduate