Job Location
This role is onsite in NYC, NY.
About the job you're considering
Capgemini is hiring a Databricks Data Engineer in NYC. The ideal candidate will lead the design and optimization of scalable data lakehouse solutions while managing end-to-end project delivery, production support, stakeholder relationships, budgets, and service performance. This person will serve as both a technical leader and a trusted client-facing advisor, ensuring high-quality data solutions are delivered efficiently, reliably, and within contractual commitments.
Your role
- Develop and maintain datalakehouse architectures for structured and unstructured data.
- Optimize data workflows for performance, scalability, and cost efficiency.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
- Monitor and troubleshoot data pipelines, ensuring reliability and accuracy.
- Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems.
- Oversee daily support operations, resolving client complaints within SLAs, and drive regular cross-platform training to build product and system knowledge across the team.
- Track support metrics (ticket volume, resolution time, CSAT) and maintain SOPs to keep the team consistent, efficient, and culturally healthy, including regular team rotations.
- Manage automation/enhancement of supported applications, build ThoughtSpot dashboards and custom reports, and transition new applications into support.
- Track project costs across GCP and Snowflake, propose cost-saving initiatives, and present monthly cost analyses to clients.
- Deliver monthly support summaries, proactively flag data issues before they escalate, and coordinate with cross-functional teams (Adserver, Finance, Product, Yield, Cadent, etc.).
Skills and experience
- 5+ Years of Design and implement ETL/ELT pipelines using Databricks and Apache Spark.
- Strong proficiency in Python, SQL, and PySpark.
- 5+ years of Delivery and Project Management experience
- Knowledge of Delta Lake, datalakehouse concepts, and streaming data.
- Familiarity with CI/CD pipelines, version control (Git), and DevOps practices.
- Understanding of data modeling, data warehousing, and performance tuning.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
The base compensation range for this role in the posted location is: $89,400 - $166,398.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
