Senior Data Architect

Tachyon Technologies
Irving, TX, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$145,600.0 - $197,600.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Databases Data Architecture Data Mapping Disaster Recovery PostgreSQL Performance Tuning Query Optimization SQL Databases System Availability Database Optimization
+5 more
Database Performance Indexer Database Migration Physical Data Models Cloud Optimization

Job description

We are seeking an experienced Data Architect with strong expertise in PostgreSQL, database architecture, data modeling, and AWS cloud migration. The ideal candidate will have hands-on experience migrating on-premise databases to AWS, optimizing database performance, and managing database sizing and capacity planning., * Design conceptual, logical, and physical data models and database schemas.

  • Lead/support PostgreSQL database migration from on-premise to AWS.
  • Work with AWS DMS, SCT, RDS, and Aurora PostgreSQL.
  • Perform data mapping, validation, reconciliation, and migration testing.
  • Optimize SQL queries, indexing, partitioning, and database performance.
  • Handle database sizing, capacity planning, scaling, and cloud optimization.
  • Define migration strategies, cutover, rollback, RPO/RTO, HA, and DR requirements.
  • Collaborate with application, infrastructure, and engineering teams.

Requirements

  • Strong PostgreSQL, SQL, database architecture, and data modeling experience.
  • Hands-on database migration and AWS cloud migration experience.
  • Knowledge of AWS DMS, SCT, RDS, and Aurora PostgreSQL.
  • Expertise in performance tuning, query optimization, and database sizing.
  • Experience with data mapping, validation, reconciliation, and capacity planning.
  • Understanding of high availability, disaster recovery, RPO, and RTO.

Preferred: Energy/Utilities industry experience, large enterprise databases, AWS S3, Glue, Redshift, Athena, Lambda, and data modeling tools such as ERwin or ER/Studio.

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