Scicom Infrastructure Services

Big Data Technical Project Manager

Scicom Infrastructure Services

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Lead end-to-end delivery of big data and analytics projects, including platform implementations, migrations, and optimizations
  • Define project scope, timelines, milestones, and deliverables
  • Develop and manage detailed project plans, ensuring on-time and within-scope delivery
  • Identify risks, dependencies, and constraints, and proactively drive mitigation strategies
  • Provide regular status updates to stakeholders and executive leadership
  • Serve as the technical liaison for data platform initiatives involving Databricks, Snowflake, or similar technologies
  • Collaborate with data engineers and architects to design scalable data pipelines and architectures
  • Oversee data ingestion, transformation (ETL/ELT), and storage strategies
  • Ensure adherence to best practices for performance optimization, cost management, and data governance
  • Validate technical solutions against business and functional requirements
  • Coordinate across data engineering, analytics, infrastructure, and business teams
  • Translate business needs into technical requirements and execution plans
  • Facilitate project meetings, sprint planning, and technical discussions
  • Manage third-party vendors and consulting partners as needed
  • Establish and maintain project governance, standards, and documentation
  • Ensure compliance with data security, privacy, and regulatory requirements
  • Support Agile, Waterfall, or hybrid delivery methodologies
  • Drive continuous improvement across data delivery processes

Requirements

  • 5+ years of experience in technical project management
  • Strong understanding of big data platforms (REQUIRED) such as: Databricks, Snowflake, Hadoop, Spark, or similar ecosystems
  • Experience managing large-scale data or analytics projects
  • Solid understanding of: Data pipelines (ETL/ELT)
  • Data warehousing and lakehouse architectures
  • Cloud environments (AWS, Azure, or GCP)
  • Ability to manage multiple workstreams and priorities in complex environments
  • Excellent communication, stakeholder management, and leadership skills
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
big datadata pipelinesETLELTdata warehousinglakehouse architecturesproject managementrisk managementperformance optimizationdata governance
Soft Skills
communicationstakeholder managementleadershipcollaborationproject governanceproblem-solvingadaptabilitytime managementfacilitationcontinuous improvement