Job summary

Position: Data Project Manager(Data Engineering experience must) Location: Remote Duration: Full Time Employment Key Responsibilities Lead end-to-end delivery of data engineering and analytics projects. Define project scope, timelines, budgets, and resource allocation. Coordinate with business stakeholders, architects, data engineers, and QA teams. Manage Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming. Track project progress and provide regular status updates to leadership. Identify project risks, dependencies, and mitigation strategies. Ensure…

Job details

Position: Data Project Manager(Data Engineering experience must) Location: Remote Duration: Full Time Employment Key Responsibilities Lead end-to-end delivery of data engineering and analytics projects. Define project scope, timelines, budgets, and resource allocation. Coordinate with business stakeholders, architects, data engineers, and QA teams. Manage Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming. Track project progress and provide regular status updates to leadership. Identify project risks, dependencies, and mitigation strategies. Ensure data engineering best practices and governance standards are followed. Collaborate with cloud engineering teams for deployment and migration activities. Monitor project KPIs, deliverables, and quality standards. Drive continuous process improvements and delivery excellence. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of IT experience with 3+ years managing Data Engineering projects. Strong understanding of Data Engineering concepts, ETL/ELT, data warehousing, and data pipelines. Experience managing projects involving cloud platforms such as: AWS Azure Google Cloud Platform (GCP) Experience with Agile/Scrum methodologies. Proficiency in project management tools such as Jira, Azure DevOps, or Microsoft Project. Excellent leadership, communication, and stakeholder management skills. Preferred Technical Skills SQL Spark / PySpark Databricks Snowflake Microsoft Fabric Azure Data Factory (ADF) Apache Airflow Kafka Delta Lake Data Lake Power BI (preferred) Terraform (preferred) Preferred Certifications PMP Scrum Master (CSM/PSM) AWS Certified Solutions Architect Azure Fundamentals or Azure Data Engineer Associate Databricks Certified Data Engineer Microsoft Fabric Certification (preferred) Soft Skills Excellent communication and presentation skills Strong problem-solving abilities Leadership and team management Risk management

What you’ll do

Lead end-to-end delivery of data engineering and analytics projects while managing project scope, timelines, and budgets. Collaborate with various teams to ensure best practices and governance standards are followed.

Requirements

Candidates must have a bachelor's degree in a related field and at least 8 years of IT experience, including 3 years managing Data Engineering projects. A strong understanding of data engineering concepts and experience with cloud platforms is essential.

Listed skills

Microsoft Azure · Preferred
Microsoft · Preferred
Leadership · Preferred
Data analysis · Preferred
Planning · Preferred
Scrum · Preferred
management · Preferred
Communication · Preferred
Agile · Preferred
Amazon Web Services · Preferred
Time · Preferred
Google Cloud · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

Data Engineering
ETL
ELT
Data Warehousing
Data Pipelines
Cloud Platforms
Agile
Scrum
Project Management
SQL
Spark
PySpark
Databricks
Snowflake
Azure Data Factory
Apache Airflow