Senior AWS Database Architect

ADDSOURCENY🇺🇸United StatesPosted Oct 20, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Remote

Location

NY, United States

Posted

21 hours ago

OraclePL/SQLSQLAWSEncryptionPCI DSSCDKCompliancePythonRedshiftTerraformGenerative AIPostgreSQLSQL ServerJiraAgileIAM

Job Description

Title: Senior AWS Database Architect

Location: Remote (US)

Duration: Long Term

Position Overview:

The customer is modernizing a large, legacy relational database estate on AWS. You will lead the migration and modernization of complex Oracle, SQL Server, and PostgreSQL workloads to AWS - primarily to Aurora PostgreSQL and, where applicable, Oracle Database @AWS (ODB@AWS) - including schema/PL SQL conversion, cutover, and validation.

Key Responsibilities:

Design and execute migrations of relational databases (Oracle, SQL Server, PostgreSQL) to AWS (Aurora PostgreSQL, RDS, ODB@AWS).
Perform schema and PL/SQL conversion/refactoring; plan and run migration waves (assessment cutover validation tuning).
Produce target state data models, migration runbooks, ADRs, and guidance for application teams.
Ensure migrated databases meet security and compliance requirements (least privilege IAM, KMS encryption at rest/in transit).

Must Have

Relational databases (Level 400): Deep hands on with at least two of Oracle, SQL Server, PostgreSQL; advanced SQL and PL/SQL.
Database migration to AWS (Level 300 400): Proven delivery migrating production databases to Aurora PostgreSQL / RDS, using AWS DMS and SCT (Schema Conversion Tool).
Core AWS data stores (Level 300): RDS / Aurora PostgreSQL, S3, IAM, KMS.

Should Have

Programming: Python for data processing and migration automation.
PL/SQL conversion at scale (Oracle PostgreSQL) and heterogeneous migration experience.
ODB@AWS familiarity.
Financial services / regulated enterprise delivery (PCI DSS / SOC2 awareness).
IaC: Terraform. (CDK not required.)
Agile / Jira (Level 200): Manage own user stories within the sprint.
Nice to Have
Agentic AI / Amazon Bedrock for data accelerators (code analysis/conversion, data domain tagging) - differentiator, not a gate.
Data lake / lakehouse exposure (Glue, Lake Formation, Athena, Redshift).
Legacy source familiarity (Exadata, Sybase, DB2, mainframe).
GenAI coding assistants (Q Developer, Kiro).
AWS certifications: Database Specialty or Solutions Architect (Associate/Pro).