Technical Project Manager (Hadoop Expertise)

Cardinal Integrated•Santa Clara, CA

51d•Onsite

About The Position

We are seeking a skilled Technical Project Manager (TPM) with a strong technical background in Big Data technologies, specifically Hadoop, to lead and manage IT projects from initiation to closure. The ideal candidate will serve as a key liaison between business stakeholders and technical teams, ensuring that requirements are thoroughly gathered, clearly documented, and accurately implemented.

Requirements

7+ years of experience in IT Project Management.
Proven experience in interacting with business users to gather and document requirements.
Strong technical background in Big Data with hands-on understanding of Hadoop ecosystem.
Familiarity with data processing, ETL pipelines, and large-scale distributed data systems.
Experience working in Agile/Scrum environments.
Excellent communication, interpersonal, and stakeholder management skills.
Proficiency in project management tools such as JIRA, Confluence, MS Project, or equivalent.

Nice To Haves

PMP, PMI-ACP, CSM, or equivalent certification.
Prior experience as a Data Engineer or Hadoop Developer is a strong plus.
Knowledge of cloud platforms ( Azure HDInsight and GCP Dataproc).
Understanding of data governance, data quality, and compliance standards.

Responsibilities

Lead end-to-end project lifecycle: planning, execution, monitoring, and closure.
Develop and maintain project schedules, scope, risks, and budget.
Coordinate cross-functional teams (development, QA, DevOps, business, etc.).
Manage project resources and ensure timely delivery of project milestones.
Collaborate with business stakeholders to elicit, analyze, and document project requirements.
Translate business needs into functional and technical specifications.
Facilitate requirement review sessions and obtain sign-offs from all relevant parties.
Maintain traceability of requirements throughout the project lifecycle.
Provide guidance and oversight on Hadoop-based solutions and architecture.
Work closely with data engineers and architects to ensure technical feasibility of solutions.
Identify opportunities to leverage Hadoop ecosystem components (e.g., HDFS, Hive, Pig, Spark, HBase) for business needs.
Act as the primary point of contact between business and technical teams.
Provide regular updates to stakeholders on project progress, risks, and mitigation plans.
Prepare and present project status reports, roadmaps, and post-implementation reviews.