Project Manager-Data Engineering

Job Title: Technical Project Manager – Data Engineering (Databricks Practice)

Company: V4C.ai

Type: Full-time

Experience Level: Mid to Senior

• Lead and manage end-to-end delivery of data engineering projects, ensuring timelines, budgets, and quality standards are met.

• Coordinate between data engineers, solution architects, business stakeholders, and clients to align project objectives.

• Track and manage project plans, risks, dependencies, and progress through agile/scrum methodologies.

• Ensure adherence to data engineering best practices across design, build, and deployment.

• Support solution design discussions for data pipelines, data lake/lakehouse, and cloud data platforms.

• Drive continuous improvement by implementing accelerators, reusable assets, and governance frameworks.

• Partner with the Technology Steering Committee to stay updated on emerging trends, tools, and practices.

• Prepare and deliver regular project status updates, executive reports, and stakeholder communication.
  

Experience: 5+ years in project/program management with strong exposure to data engineering or analytics projects.

Technical Knowledge (preferred, not mandatory):

• Familiarity with Databricks, Apache Spark, or other big data frameworks.

• Understanding of cloud platforms (AWS, Azure, or GCP).

• Exposure to data lakes, data warehouses, and lakehouse concepts.

• Knowledge of CI/CD pipelines, version control, and agile delivery practices.

Soft Skills:

• Excellent leadership, communication, and stakeholder management skills.

• Strong problem-solving and conflict-resolution abilities.

• Proven ability to manage distributed, cross-functional teams.

• Prior experience managing projects with Databricks or modern data platforms.

• Project management certifications (PMP, CSM, PRINCE2, or equivalent).

• Familiarity with monitoring and observability tools (Datadog, Prometheus, etc.).

• Exposure to ML or advanced analytics projects.