Senior Cloud Data Architect
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Job Description
Data Architect at Vertical Relevance shaping customer cloud journeys with AWS solutions. Designing and implementing data solutions, ensuring customer success through strong technical guidance.
Responsibilities:
- Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”.
- Consult, plan, design, and implement Data solutions on the cloud customers.
- Design AWS Data Lake implementations.
- Database Migration to AWS Managed Services.
- Design and Develop AWS Data Quality and Governance solutions.
- Become a deep technical resource that earns our customer's trust.
- Develop high-quality technical content such as automation tools, reference architecture, and white papers to help our customers build on the cloud.
- Innovate on behalf of customers and translate your thoughts into action yielding measurable results.
- Support solution development by conveying customer needs and feedback as input to technology roadmaps.
- Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
- Assist with technical briefs that document solutions.
- Assist with reference architecture implementations.
- Support internal and external brand development through thought leadership: Work with Marketing/Alliances to write blog posts; Work with Marketing/Alliances to develop internal case studies.
Requirements:
- Professional experience architecting/operating Data / DevOps solutions built on AWS and Azure.
- Experience in software/technology customer facing experience.
- Experience with Apache Iceberg
- Sagemaker, SageMaker Lakehouse, SageMaker Catalog
- Terraform.
- Database migration factory
- Aurora PostgreSQL
- Experience with Athena, Redshift, EMR, Glue, DataBricks and/or Snowflake.
- AWS Glue Data Catalog configuration and management.
- Python/PySpark for metadata automation.
- Data governance framework implementation.
- Metadata ingestion pipeline development.
- DCAM/DAMA framework experience.
- Lake Formation security models.
- Enterprise taxonomy design.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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