Technical Project Manager

Technical Project Manager (Big Data experience)

Jersey City, NJ / Tampa, FL

Fulltime

Job Description:

Must Have Technical/Functional Skills

Key Responsibilities:

1. Project & Delivery Management:

• Take full ownership of the project lifecycle, from initial requirements gathering and planning to final delivery and stakeholder sign-off.
• Manage and prioritize the team's Book of Work (BoW), ensuring alignment with strategic business objectives and clear communication of timelines.
• Lead all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring adherence to Agile best practices.
• Utilize JIRA and Confluence to meticulously track project progress, manage backlogs, and maintain clear, accessible documentation.
• •

2. Technical Oversight & Collaboration:

• Leverage a strong understanding of the Big Data Ecosystem (Hadoop, Spark, Hive, HDFS) to facilitate technical discussions and ensure proposed solutions are robust and scalable.
• Collaborate closely with Data Architects and Senior Engineers to review technical designs and ensure they align with project requirements and data engineering best practices.
• Use hands-on SQL skills to perform data analysis, validate deliverables, and assist in troubleshooting data-related issues.

3. Coordination & Stakeholder Management:

• Serve as the primary point of contact for all project-related communications, ensuring seamless coordination between the development team, QA, business analysts, and external stakeholders.
• Proactively identify and mitigate risks, manage dependencies, and resolve blockers to ensure smooth project execution.
• Provide regular, clear, and concise status reports to leadership and stakeholders.

Qualifications & Skills

Required:

• Proven experience as a Technical Project Manager or a similar role within a Big Data Engineering environment.
• Expert-level understanding of Agile/Scrum methodologies and extensive hands-on experience managing projects using JIRA.
• Demonstrated ability to manage a complex Book of Work, including prioritization, resource planning, and dependency management.
• Strong comprehension of the Hadoop ecosystem and its core components (e.g., HDFS, Spark, Hive, MapReduce).
• Hands-on proficiency with SQL for complex data querying, analysis, and validation is mandatory.
• Exceptional coordination, tracking, and communication skills.

Preferred:

• A technical background as a Data Engineer, Developer, or Data Analyst.
• < /span>Experience with cloud-based data platforms (e.g., Databricks, Snowflake, AWS, Azure).
• Familiarity with CI/CD pipelines and DevOps principles.
• Relevant certifications (e.g., PMP, Certified ScrumMaster).

Roles & Responsibilities

1. Key Responsibilities

2. 1. Project & Delivery Management:

3.
Take full ownership of the project lifecycle, from initial requirements gathering and planning to final delivery and stakeholder sign-off.

4.
Manage and prioritize the team's Book of Work (BoW), ensuring alignment with strategic business objectives and clear communication of timelines.

5.
Lead all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring adherence to Agile best practices.

6.
Utilize JIRA and Confluence to meticulously track project progress, manage backlogs, and maintain clear, accessible documentation.

2. Technical Oversight & Collaboration:

7.
Leverage a strong understanding of the Big Data Ecosystem (Hadoop, Spark, Hive, HDFS) to facilitate technical discussions and ensure proposed solutions are robust and scalable.

8.
Collaborate closely with Data Architects and Senior Engineers to review technical designs and ensure they align with project requirements and data engineering best practices.

9.
Use hands-on SQL skills to perform data analysis, validate deliverables, and assist in troubleshooting data-related issues.

3. Coordination & Stakeholder Management:

10.
Serve as the primary point of contact for all project-related communications, ensuring seamless coordination between the development team, QA, business analysts, and external stakeholders.

11.
Proactively identify and mitigate risks, manage dependencies, and resolve blockers to ensure smooth project execution.

12.
Provide regular, clear, and concise status reports to leadership and stakeholders.

Qualifications & Skills:

Required:

13.
Proven experience as a Technical Project Manager or a similar role within a Big Data Engineering environment.

14.
Expert-level understanding of Agile/Scrum methodologies and extensive hands-on experience managing projects using JIRA.

15.
Demonstrated ability to manage a complex Book of Work, including prioritization, resource planning, and dependency management.

16.
Strong comprehension of the Hadoop ecosystem and its core components (e.g., HDFS, Spark, Hive, MapReduce).

17.
Hands-on proficiency with SQL for complex data querying, analysis, and validation is manda tory.

18.
Exceptional coordination, tracking, and communication skills.

Preferred:

19.
A technical background as a Data Engineer, Developer, or Data Analyst.

20.
Experience with cloud-based data platforms (e.g., Databricks, Snowflake, AWS, Azure).

21.
Familiarity with CI/CD pipelines and DevOps principles.

22.
Relevant certifications (e.g., PMP, Certified ScrumMaster).