Technical Project Manager - Data Engineering
Technical Project Manager - Data Engineering
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Job Description
About Parkar:
At Parkar we are redefining cloud transformation with the power of Microsoft Azure and AWS platforms. Our commitment to aligning with industry-leading cloud technologies enables us to deliver tailored best-in-class solutions that drive tangible results for our clients.
With over a decade of experience and more than 100 enterprise engagements across diverse industries we specialize in empowering businesses to innovate and scale. From AIOps to Generative AI and advanced Machine Learning our expertise spans the technologies that shape tomorrows enterprises.
As a Microsoft Gold Partner we boast over 125 Azure certifications and a track record of 400 successful projects powered by our team of 200 skilled engineers. Whether its data analytics DevOps automation or application development Parkar is dedicated to achieving each clients unique transformation goals with agility precision and a relentless pursuit of excellence.
Vector is our flagship platform built on the latest in IT and AI technology to empower organizations to work smarter and stay ahead in a fast-changing digital world. It streamlines digital operations with intelligent automation and seamless cloud integration. With features like real-time monitoring early problem detection and scalable flexibility Vector helps reduce costs boost reliability and drive continuous innovation.
For more info. Visit our website:
About Role:
We are seeking a Technical Project Manager (TPM) with a strong background in data engineering analytics and cloud technologiesto lead cross-functional projects in our data domain. You will be responsible for managing end-to-end project delivery working closely with engineering teams data scientists product owners and stakeholders to ensure timely quality-driven outcomes.
Responsibilities:
- Lead the planning execution and delivery of complex data projects across multiple teams.
- Collaborate with data engineers analysts and architects to define project scope technical requirements and roadmaps.
- Manage project timelines deliverables risks and dependencies using Agile/Scrum methodologies.
- Work closely with business stakeholders to translate their requirements into scalable data solutions.
- Coordinate sprint planning reviews and retrospectives; maintain project documentation and JIRA boards.
- Ensure adherence to data governance security and compliance standards.
- Provide technical guidance on cloud-based data platforms like Azure AWS or GCP.
- Drive continuous improvement through retrospectives KPIs and lessons learned.
Requirement:
- Bachelors or Masters degree in Computer Science Engineering Information Systems or related field.
- 10 years of experience in the IT industry with at least 4 years in a Technical Project Management role.
- Strong understanding of data technologies: Data Warehousing ETL/ELT Data Lakes Data Pipelines.
- Hands-on knowledge of tools such as Azure Data Factory Databricks Snowflake Power BI or AWS Glue/Redshift.
- Experience with Agile methodologies (Scrum Kanban) and tools like JIRA Confluence.
- Proven ability to manage multiple stakeholders and cross-functional teams.
- Excellent communication organizational and leadership skills.
Required Experience:
IC
Employment Type
Full-Time
