Lead Database Engineer

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

• 10–12 years of database/data engineering experience with at least 4 end-to-end production data migrations.

• Expert knowledge of Azure SQL, 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 mandatory.