Solution Architect - Databricks (DB2 & Ab Initio Migration)
Employment Type: [Contract / Full-Time]Role Overview We are looking for a highly experienced Solution Architect with deep expertise in Databricks and strong experience in migrating legacy data platforms, specifically DB2 and Ab Initio, to modern cloud-based data ecosystems. The ideal candidate will lead end-to-end architecture, define migration strategies, and ensure scalable, secure, and high-performance production data solutions. Key Responsibilities Define and design enterprise data architecture using Databricks (Lakehouse architecture preferred)
Lead migration initiatives from DB2 databases and Ab Initio ETL systems to modern cloud platforms
Develop migration roadmaps, architecture blueprints, and implementation strategies
Provide technical leadership to data engineering teams
Ensure data quality, governance, performance optimization, and security best practices
Collaborate with business stakeholders to translate requirements into scalable technical solutions
Conduct architecture reviews and recommend modernization strategies Required Skills & Experience 10+ years of experience in Data Architecture / Data Engineering
Strong hands-on experience with Databricks (Spark, Delta Lake, PySpark)
Strong knowledge of Databricks design patterns
Strong experience implementing production-grade data architectures
Proven experience migrating from: DB2
Ab Initio Strong knowledge of data warehousing, ETL/ELT processes, and data modeling
Experience with at least one major cloud platform (AWS / Azure / GCP)
Experience handling large-scale data transformation and performance tuning
Strong architectural documentation and stakeholder communication skills Nice to Have Experience in large enterprise modernization programs
Familiarity with CI/CD pipelines and DevOps practices for data platforms
Certification in Databricks or cloud technologies
Finance / Banking domain experience
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