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Hyderabad metro and PM title increase visibility, but senior Databricks specialization reduces applicant density.
High because role requires niche Databricks, lakehouse, and cloud data engineering expertise, limiting transferability.
High because explicit 10+ years, mandatory Databricks/data engineering experience, and senior delivery leadership required.
Lead end-to-end delivery and management of large-scale Data Engineering, Databricks, Analytics, and AdTech projects including scope, roadmap, budgets, risks, and milestones.
Provide technical oversight on Databricks, Delta Lake, Unity Catalog, Spark/PySpark, ETL/ELT, and Lakehouse architectures, collaborating with architects and engineering teams on data ingestion, transformation, and governance.
Coordinate multiple distributed technical teams and act as the primary technical and delivery liaison with client stakeholders, delivering executive-level updates and driving Agile/Scrum, SDLC, DevOps, and risk management processes.
10+ years of overall IT experience with strong Technical Project/Program Management experience.
Proven experience delivering Data Engineering, Data Modernization, Analytics, or Cloud Data projects.
Strong technical understanding of Databricks and Lakehouse architecture; knowledge of Delta Lake, Unity Catalog, Spark/PySpark, ETL/ELT, and Data Modeling.
Experience with AWS, Azure, or GCP cloud platforms and strong understanding of Agile/Scrum and SDLC methodologies.
Experienced in managing complex data and cloud transformation programs, specifically involving Databricks and Lakehouse solutions.
Comfortable working with multiple distributed teams and coordinating across technical, product, and business stakeholders in a matrix environment.
Capable of providing technical leadership with strong communication skills for executive and client interactions, able to navigate high-impact, multi-workstream projects in Data Engineering and AdTech domains.