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.
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