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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand, metro location, and a visible TPM title drive high competition.
Demands deep data-platform, governance, and migration expertise, limiting transferability across unrelated industries.
Requires specialized data-platform migration, Databricks/Hadoop knowledge and governance experience, so screening will be strict.
Job Description
Structured overview of role & requirementsAbout This Role
Own delivery planning and execution for shared data models and pipelines supporting multiple product teams, focusing on adoption success.
Manage the migration from Hadoop and on-prem ETL to Databricks, including sequencing, cutover, and decommissioning legacy platforms while ensuring operational continuity.
Coordinate dependencies with platform, cloud operations, and governance teams, and lead vendor and partner engagements to track milestones and commitments.
Minimum Requirements
Experience running technical programs in data engineering, data platforms, or analytics infrastructure.
Working knowledge of Hadoop, Hive, traditional ETL, Databricks, Spark, and orchestration tools like Airflow.
Strong SQL skills sufficient to scope work and identify risks without engineering mediation.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing platform migrations where legacy systems remain live during transition and decommissioning is critical.
Understanding of data modelling concepts, including schemas, lineage, and impact of schema drift on downstream systems.
Skilled in stakeholder management to drive adoption of shared platforms through persuasion, evidence-based approaches, and follow-through.