Data Architect (12+years)

Key Responsibilities

• Define and execute the enterprise data architecture strategy in alignment with business goals and future growth needs.
• Architect, design, and implement Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms.
• Lead modernization of data platforms using technologies such as Snowflake, Databricks, Azure Data Factory (ADF), cloud storage, and related ecosystem services.
• Design and implement robust batch and streaming data pipelines using frameworks such as Apache Spark, ensuring scalability, reliability, performance, and data integrity.
• Develop frameworks for data ingestion, transformation, orchestration, and automation (ETL / ELT), including real-time streaming ingestion pipelines.
• Establish and enforce data governance, metadata management, data cataloging, data lineage and quality standards across the data ecosystem.
• Collaborate with business stakeholders, analytics / BI teams, data engineers, and data scientists to understand requirements and deliver data solutions aligned with enterprise needs.
• Provide technical leadership, mentor data engineering teams, drive best practices, and ensure maintainability of the data platform.
• Keep abreast of emerging data technologies and industry trends; recommend and adopt improvements to continuously evolve the data platform.

Required Skills & Experience

Education & Background