Lead Data Engineer
EPAM Systems, Inc.
Join EPAM Systems as a Lead Data Engineer, leading the re-architecture of a major enterprise data lake using Databricks and dbt, while collaborating with global teams.
Last checked on August 30, 2026. We may earn a commission when you click through.
Lead Data Engineer
EPAM Systems, Inc.
Updated 5 days agoYou'll be redirected to au.talent.com
This position is ideal for seasoned data engineers eager to take on a leadership role in a significant project. However, the lack of disclosed salary details may deter some candidates.
About this role
Join EPAM Systems as a Lead Data Engineer, leading the re-architecture of a major enterprise data lake using Databricks and dbt, while collaborating with global teams.
About the Company
EPAM Systems, Inc. is a leading global provider of software engineering and technology consulting services.
Key Highlights
- ✓ Lead end-to-end data modeling and pipeline delivery
- ✓ Hands-on experience with Databricks and dbt
- ✓ Collaborate with US and India-based teams
- ✓ Full-time position in a growing technology firm
💡 Honest Take: While the role promises exciting challenges, be prepared for potential time zone hurdles when coordinating with international teams. The workload may spike during critical project phases, so managing expectations is key.
Pros
- ✓ Opportunity for leadership and ownership of projects
- ✓ Engagement with diverse international teams
- ✓ Cutting-edge technology stack
Cons
- ✗ No salary information provided
- ✗ Potentially high workload during peak times
- ✗ Remote work not an option
Best For: Professionals in data engineering with a proven track record who thrive in dynamic, cross-cultural teams.
Watch Out: The role requires significant collaboration across time zones, which could affect work-life balance.
You'll be redirected to au.talent.com
Expert Review
In this role at EPAM Systems, you'll be responsible for steering the re-architecture of a major data lake project. Working with Databricks and dbt, you'll lead the data pipeline delivery, which is crucial for enterprise-level operations. The opportunity to collaborate with teams in both the US and India adds a global dimension, but it requires navigating different time zones, which might lead to scheduling challenges.
While the company is reputable in the technology sector, the absence of salary details is a notable downside. Candidates might find it hard to gauge the financial value of the position without this information. the workload could intensify during project milestones, so be prepared for possible long hours.
Overall, this position suits those with strong leadership skills in data engineering, especially if you enjoy tackling complex challenges in a collaborative setting. For more details, check EPAM's listing on their official page.
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