DB2-Databricks Consulting Partner

Saransh Inc; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Saransh Inc. seeks a senior DB2-to-Databricks Consulting Partner to lead enterprise-scale modernization efforts remotely. You will guide migration strategy, target-state and data architectures, governance, security, and performance while shaping repeatable approaches across DB2 workloads.

Work with executive stakeholders to define architecture standards, assess current-state, plan migrations, and drive automation-first initiatives leveraging AI-enabled capabilities.

Qualifications

• 10+ years of enterprise data architecture and consulting experience.
• DB2-to-Databricks migration expertise.
• Strong SQL and scripting translation skills.
• Experience with migration planning and governance.
• Ability to lead enterprise-scale modernization programs.

Responsibilities

• Provide senior consulting and technology leadership for enterprise-scale DB2-to-Databricks modernization and migration programs.
• Guide migration strategy, target-state architectures, design patterns, and data architecture standards.
• Lead current-state assessments and migration planning, identifying gaps, dependencies, risks and remediation strategies.
• Define repeatable frameworks for object assessment, schema and data migration, SQL translation, ETL modernization, reconciliation, testing and cutover.
• Promote automation-first migration using accelerators and AI-enabled capabilities.
• Advise customer leadership on complex migration and architecture decisions.
• Collaborate with engineering and architecture teams to address legacy dependencies and performance challenges.

Skills

Data architecture

DB2 consulting

DB2-to-Databricks migration

Databricks architecture

Migration strategy

Data governance

SQL translation

ETL modernization

Automation frameworks

Executive guidance

Tech leadership

Job description

Role - DB2-Databricks Consulting Partner

Location - Remote

Experience Required - 10+ years

Job Summary

Provide senior consulting and technology leadership for enterprise-scale DB2-to-Databricks modernization and migration programs. Guide migration strategy, target-state architecture, data architecture, governance, security, performance, and the development of repeatable migration approaches. Serve as a technology advisor on complex architecture decisions and support the scalable modernization of DB2 workloads.

Must Have Technical/Functional Skills

• Enterprise data architecture and consulting
• DB2 consulting
• DB2-to-Databricks migration
• Databricks architecture
• Migration strategy and planning
• Data architecture, catalogs, security, and governance
• SQL and script translation
• ETL modernization
• Data reconciliation, testing, and cutover planning
• Migration automation and reusable frameworks
• Provide senior consulting and technology leadership for enterprise-scale DB2-to-Databricks modernization and migration programs.
• Define migration strategies, target-state architectures, design patterns, and data architecture standards.
• Lead current-state assessments and migration planning.
• Identify architectural gaps, technical dependencies, migration risks, and remediation strategies.
• Define repeatable frameworks for DB2 object assessment, schema and data migration, SQL and script translation, ETL modernization, reconciliation, testing, and cutover.
• Promote an automation-first migration approach using accelerators and AI-enabled capabilities.
• Advise customer leadership on complex DB2-to-Databricks migration and architecture decisions.
• Partner with engineering and architecture teams to address legacy dependencies, SQL compatibility, workload redesign, data quality, performance, and scalability.
• Es tablish architecture governance and technical guardrails aligned with enterprise data strategy.
• Collaborate with internal practice and center-of-excellence teams on reusable assets, automation frameworks, and migration expertise.
• Provide thought leadership and executive-level guidance throughout the transformation.
• Identify opportunities to standardize and scale the migration approach across additional DB2 workloads.