Project Manager-Data Engineering
InOrgJob Title: Technical Project Manager – Data Engineering (Databricks Practice)
Company: V4C.ai
Type: Full-time
Experience Level: Mid to Senior
Key Responsibilities
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Lead and manage end-to-end delivery of data engineering projects, ensuring timelines, budgets, and quality standards are met.
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Coordinate between data engineers, solution architects, business stakeholders, and clients to align project objectives.
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Track and manage project plans, risks, dependencies, and progress through agile/scrum methodologies.
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Ensure adherence to data engineering best practices across design, build, and deployment.
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Support solution design discussions for data pipelines, data lake/lakehouse, and cloud data platforms.
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Drive continuous improvement by implementing accelerators, reusable assets, and governance frameworks.
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Partner with the Technology Steering Committee to stay updated on emerging trends, tools, and practices.
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Prepare and deliver regular project status updates, executive reports, and stakeholder communication.
Requirements
Experience: 5+ years in project/program management with strong exposure to data engineering or analytics projects.
Technical Knowledge (preferred, not mandatory):
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Familiarity with Databricks, Apache Spark, or other big data frameworks.
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Understanding of cloud platforms (AWS, Azure, or GCP).
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Exposure to data lakes, data warehouses, and lakehouse concepts.
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Knowledge of CI/CD pipelines, version control, and agile delivery practices.
Soft Skills:
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Excellent leadership, communication, and stakeholder management skills.
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Strong problem-solving and conflict-resolution abilities.
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Proven ability to manage distributed, cross-functional teams.
Nice to Have
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Prior experience managing projects with Databricks or modern data platforms.
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Project management certifications (PMP, CSM, PRINCE2, or equivalent).
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Familiarity with monitoring and observability tools (Datadog, Prometheus, etc.).
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Exposure to ML or advanced analytics projects.