JOB DESCRIPTION
Job Title: Lead Database Engineer
Job Summary
We are looking for a Lead Database Engineer with strong experience in database migration, consolidation, and data engineering. The role will lead the migration of multiple legacy databases into a unified target schema while ensuring data integrity, reconciliation, performance, and production readiness.
Key Responsibilities
- Lead end-to-end migration and consolidation of multiple legacy databases into a single target schema.
- Perform data profiling, source-to-target mapping, transformation, and master data/entity resolution.
- Develop and execute full-load, incremental, delta, and CDC-based migration processes.
- Design reconciliation processes covering row counts, checksums, control totals, financial balancing, and exception reporting.
- Develop migration runbooks, rollback plans, rehearsal strategies, and production cutover plans.
- Execute migrations across DEV, QA, UAT, and Production environments.
- Develop and optimize complex T-SQL, stored procedures, functions, triggers, indexes, and queries.
- Work with SQL Server/MSSQL, IBM DB2, PostgreSQL, and Oracle databases.
- Utilize Azure SQL, Azure Data Factory, SSIS, Azure Storage, Azure Key Vault, DMA, and Azure Database Migration Service.
- Implement database CI/CD using SSDT/DACPAC, Flyway/Liquibase, Azure DevOps, or GitHub Actions.
- Ensure database security, data masking, encryption, RBAC, and audit requirements.
- Assess the impact of schema changes on Power BI, SSRS, batch interfaces, and downstream applications.
- Use Python/PowerShell and AI-assisted tools for migration automation, reconciliation, and engineering productivity.
- Provide technical leadership and communicate migration risks, data issues, and reconciliation results to stakeholders.
Required Skills & Experience
- 8–12 years of database/data engineering experience with at least 2 end-to-end production data migrations.
- Expert knowledge of SQL Server 2016+, T-SQL, database internals, performance tuning, indexing, execution plans, statistics, and partitioning.
- Mandatory experience consolidating multiple independent databases into a single target schema.
- Strong experience in ETL, data migration, data reconciliation, master data management, entity resolution, and data quality.
- Hands-on experience with SQL Server/MSSQL, IBM DB2, PostgreSQL, and Oracle databases.
- Strong experience with Azure SQL, Azure Data Factory, SSIS, Azure Storage, and Azure Key Vault.
- Experience with DMA and Azure Database Migration Service is preferred.
- Experience with database DevOps, CI/CD, schema-as-code, and version control.
- Strong scripting skills in Python and/or PowerShell.
- Good understanding of database security, encryption, data masking, RBAC, and data privacy.
- Strong communication, documentation, troubleshooting, and stakeholder management skills.
- Practical experience using AI-assisted coding/data tools for SQL, mappings, migration scripts, and documentation.
Good to Have
- Experience in Insurance, F&I, vehicle service contracts, warranty, claims, billing, or dealer remittance.
- Experience with multi-tenant data models and complex business rules.
- Exposure to Azure Synapse, Databricks, or Microsoft Fabric.
- Experience with Redgate, ApexSQL, dbForge, or similar database comparison tools.
- Ability to understand Angular/.NET application code and trace data access paths.
- DP-300 or DP-203 certification.
