Technical Project Manager - Data Engineering

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 tomorrow’s 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 it’s data analytics, DevOps automation, or application development, Parkar is dedicated to achieving each client’s 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: www.parkar.in

About Role:

We are seeking a Technical Project Manager (TPM) with a strong background in data engineering, analytics, and cloud technologies to 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:

• Bachelor’s or Master’s 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.