Senior Cloud Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist customers in shaping their journey towards cloud adoption by providing both technical and strategic guidance throughout their “cloud journey”.

• Consult, plan, design, and implement data solutions for cloud customers.

• Create designs for AWS Data Lake implementations.

• Oversee database migrations to AWS Managed Services.

• Design and develop AWS Data Quality and Governance solutions.

• Become a trusted technical resource for our customers.

• Produce high-quality technical documentation including automation tools, reference architectures, and white papers to assist customers in their cloud initiatives.

• Drive innovation for customers by translating ideas into actionable strategies that yield measurable outcomes.

• Facilitate solution development by communicating customer needs and feedback to inform technology roadmaps.

• Share insights on real-world implementation challenges and recommend enhancements to capabilities through new and improved offerings.

• Support the creation of technical briefs that document solutions.

• Aid in the implementation of reference architectures.

• Contribute to brand development both internally and externally by engaging in thought leadership: Collaborate with Marketing/Alliances to write blog posts and develop internal case studies.

⛳️ Requirements

• Professional experience in architecting and operating Data / DevOps solutions based on AWS and Azure.

• Experience in customer-facing roles within the software/technology sector.

• Familiarity with Apache Iceberg.

• Knowledge of Sagemaker, SageMaker Lakehouse, and SageMaker Catalog.

• Proficiency in Terraform.

• Experience with database migration factories.

• Understanding of Aurora PostgreSQL.

• Familiarity with Athena, Redshift, EMR, Glue, DataBricks, and/or Snowflake.

• Experience in configuring and managing AWS Glue Data Catalog.

• Proficient in Python/PySpark for metadata automation.

• Experience with implementing data governance frameworks.

• Knowledge in developing metadata ingestion pipelines.

• Familiarity with DCAM/DAMA frameworks.

• Understanding of Lake Formation security models.

• Experience in designing enterprise taxonomies.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Professional development opportunities