Title : DataOps Project Manager - Overall experience is 10yrs
Location : Mclean VA (F2F required & 5 Days onsite)
Job type : C2C or W2
Job Description:
Profile Summary
Results-drivenDataOps Project Managerwith experience leading cross-functional teams to deliver scalable data solutions. I am skilled in managingdata pipelines cloud data platforms and analytics initiativesusing agile and DevOps methodologies. Adept at bridging the gap betweenbusiness stakeholders and technical teamsto ensure high-quality reliable and efficient data operations.
Experienced in overseeingdata engineering workflows ETL processes data governance and automation frameworksto 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.
Title : DataOps Project Manager - Overall experience is 10yrs Location : Mclean VA (F2F required & 5 Days onsite) Job type : C2C or W2 Job Description: Profile Summary Results-drivenDataOps Project Managerwith experience leading cross-functional teams to deliver scalable data solutions. I am skill...
Title : DataOps Project Manager - Overall experience is 10yrs
Location : Mclean VA (F2F required & 5 Days onsite)
Job type : C2C or W2
Job Description:
Profile Summary
Results-drivenDataOps Project Managerwith experience leading cross-functional teams to deliver scalable data solutions. I am skilled in managingdata pipelines cloud data platforms and analytics initiativesusing agile and DevOps methodologies. Adept at bridging the gap betweenbusiness stakeholders and technical teamsto ensure high-quality reliable and efficient data operations.
Experienced in overseeingdata engineering workflows ETL processes data governance and automation frameworksto 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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