Purple Drive
Key Responsibilities
Solution Design: Architect end-to-end data warehousing and analytics solutions integrating Snowflake with AWS services. Technical Leadership: Provide architectural guidance and best practices throughout project lifecycles. Data Integration: Design and implement ETL/ELT processes to ensure data quality, consistency, and availability. Performance Optimization: Optimize large-scale data processing and troubleshoot performance issues. Security & Governance: Implement data security, access controls, and ensure compliance with governance policies. Collaboration: Partner with data engineers, scientists, and business stakeholders to align solutions with business needs. POCs & Demonstrations: Lead technical presentations, proof-of-concepts, and demonstrations to showcase capabilities. Required Skills & Experience
5 10 years in data architecture, cloud solutions, or enterprise data warehousing. Proven expertise in AWS (EC2, S3, Lambda, Redshift, API Gateway) and Snowflake. Strong proficiency in SQL, data modeling, ETL/ELT pipelines. Hands-on experience with DevOps tools (Git, Jenkins, CI/CD). Knowledge of big data technologies (Spark, Hive, Kafka). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Certifications: AWS Certified Solutions Architect and/or Snowflake certifications preferred. Experience with Agile/Scrum methodologies. Exposure to machine learning and advanced analytics is a plus.
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Solution Design: Architect end-to-end data warehousing and analytics solutions integrating Snowflake with AWS services. Technical Leadership: Provide architectural guidance and best practices throughout project lifecycles. Data Integration: Design and implement ETL/ELT processes to ensure data quality, consistency, and availability. Performance Optimization: Optimize large-scale data processing and troubleshoot performance issues. Security & Governance: Implement data security, access controls, and ensure compliance with governance policies. Collaboration: Partner with data engineers, scientists, and business stakeholders to align solutions with business needs. POCs & Demonstrations: Lead technical presentations, proof-of-concepts, and demonstrations to showcase capabilities. Required Skills & Experience
5 10 years in data architecture, cloud solutions, or enterprise data warehousing. Proven expertise in AWS (EC2, S3, Lambda, Redshift, API Gateway) and Snowflake. Strong proficiency in SQL, data modeling, ETL/ELT pipelines. Hands-on experience with DevOps tools (Git, Jenkins, CI/CD). Knowledge of big data technologies (Spark, Hive, Kafka). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Certifications: AWS Certified Solutions Architect and/or Snowflake certifications preferred. Experience with Agile/Scrum methodologies. Exposure to machine learning and advanced analytics is a plus.
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