- 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.
Key Responsibilities
- 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.).
Required Skills & Competencies
- 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.
Qualifications Education:
- Bachelors/masters 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
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 analyti...
- 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.
Key Responsibilities
- 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.).
Required Skills & Competencies
- 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.
Qualifications Education:
- Bachelors/masters 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
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