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Senior Cloud Data Architect
Vertical RelevanceData Architect at Vertical Relevance shaping customer cloud journeys with AWS solutions. Designing and implementing data solutions, ensuring customer success through strong technical guidance.
Tech Stack
Tools & technologiesAmazon RedshiftApacheAWSAzureCloudPostgresPySparkPythonTerraform
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWSAzureApache IcebergSagemakerTerraformAurora PostgreSQLAthenaRedshiftEMRGlue
Soft Skills
customer facing experiencetechnical guidanceconsultinginnovationcommunicationtrust buildingcollaborationthought leadershipdocumentationfeedback conveyance