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Job Description
Role Overview
Job Description
Role Overview
- The Senior AWS Data Architect is responsible for leading the design, implementation, and governance of enterprise-grade data solutions on AWS.
- This role combines strategic vision with hands-on technical expertise, ensuring scalable, secure, and high-performance architectures that enable advanced analytics, AI/ML workloads, and business intelligence.
- Data Architecture & Strategy Define and execute enterprise data architecture strategy on AWS.
- Establish standards for data lakes, warehouses, and streaming analytics.
- Lead modernization roadmaps to migrate legacy systems into cloud-native AWS solutions.
- Solution Design & Implementation Architect and implement Lakehouse/Medallion architectures integrating AWS services with Databricks, Snowflake, or similar platforms.
- Design secure, scalable, and performant data pipelines for ingestion, transformation, and governance.
- Collaboration & Leadership Partner with engineering, analytics, and business teams to align data solutions with organizational goals.
- Provide technical leadership and mentorship to data engineers and analysts. Act as a thought leader in data-driven decision-making.
- Governance & Compliance Implement data governance frameworks ensuring data quality, lineage, and security. Ensure compliance with industry regulations (GDPR, HIPAA, etc.).
- Technical Expertise Strong proficiency in AWS services: Redshift, Glue, Athena, EMR, S3, Lambda, Kinesis. Hands-on experience with Python, SQL, and data modeling. Familiarity with Databricks, Snowflake, Dremio, Atlan for advanced analytics.
- Architecture & Design Proven ability to design scalable, secure, and cost-optimized cloud data solutions.
- Experience in data lakehouse architectures and streaming data platforms.
- Leadership & Communication Strong stakeholder management and ability to translate technical concepts into business outcomes.
- Excellent problem-solving and decision-making skills.
- Bachelor’s/master’s in computer science, Information Systems, or related field.
- Experience: 8–12 years in data architecture, with at least 5 years on AWS cloud platforms.
- Certifications (Preferred): AWS Certified Data Analytics – Specialty, AWS Solutions Architect – Professional.