Codebase Inc

Dataops Project Manager(Day 1 onsite & F2F interview at Mclean,VA)

McLean, Virginia, USFull-timeYesterdayvia ZipRecruiter

Salary

-

Job type

Full-time

Location

McLean, Virginia, US

Remote

No

Posted

Yesterday

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Job description

Title : DataOps Project Manager – Overall experience is 10+yrs Location : Mclean, VA (F2F required & 5 Days onsite) Job type : C2C or W2

Job Description

Profile Summary Results-driven DataOps Project Manager with experience leading cross-functional teams to deliver scalable data solutions. I am skilled in managing data pipelines, cloud data platforms, and analytics initiatives using agile and DevOps methodologies. Adept at bridging the gap between business stakeholders and technical teams to ensure high-quality, reliable, and efficient data operations. Experienced in overseeing data engineering workflows, ETL processes, data governance, and automation frameworks to improve data availability and decision-making. Proven ability to manage complex projects, optimize data delivery cycles, and ensure alignment with organizational goals. Core Competencies

Project & Program Management

  • Production Environment Management
  • Project transition from Development team to DevOPS support team
  • Backlog management
  • Stakeholder management DataOps & Data Engineering
  • Data pipeline orchestration
  • Data quality monitoring
  • Data governance and compliance
  • CI/CD for data pipelines Tools & Platforms
  • Cloud : AWS, Azure, Google Cloud
  • Knowledge of Data Platforms : Snowflake, BigQuery, Redshift
  • Knowledge of Orchestration : Airflow, Prefect
  • Data Integration : Informatica
  • BI : Tableau, Power BI
  • DevOps : Git, Jenkins, Docker
  • Project tools : Jira, Confluence

Key Responsibilities

  • Manage end-to-end data platform and analytics projects.
  • Develop Transition plan, KT plan for new project.
  • Prepare project plan, Risk assessment, Build SLA, SLO, KPI, etc.
  • Drive SRE, and monitoring solution for Data infrastructure to team to stream line datapipelien.
  • Coordinate work between data engineers, analysts, and DevOps teams.
  • Implement DataOps practices to improve pipeline reliability and deployment speed.
  • Monitor data quality, performance, and operational metrics.
  • Ensure data governance, security, and compliance standards.
  • Deliver dashboards, reporting systems, and analytics solutions.
  • Optimize data lifecycle and automation workflows.
  • Communicate project progress and insights to executives and stakeholders.

Best Regards, Naveen Vulupala naveen@codebaseinc.com

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