Senior Manager, Data Engineering
Quick Summary
Provide hands-on technical direction for batch and streaming data pipelines built on Azure, Python, and Spark. Guide architecture and design reviews, set engineering standards for reusable frameworks,
2+ years directly managing data engineers or technical individual contributors; experience setting priorities, allocating work, and coaching teams; managing managers is not required.
Responsibilities
~1 min read- →People management: 2+ years directly managing data engineers or technical individual contributors; experience setting priorities, allocating work, and coaching teams; managing managers is not required.
- →Data engineering experience: 7+ years in data engineering, including multiple large and complex projects delivered end to end.
- →Technical depth: Advanced Python and SQL; strong experience with Azure data services and distributed processing (e.g., Spark/PySpark); experience building reusable frameworks.
- →Streaming: Hands-on experience designing or leading real-time data pipelines with Kafka, Spark Streaming, or equivalent technologies.
- →Data governance and quality: Working knowledge of data quality frameworks, lineage, metadata management, and data governance practices.
- →Delivery: Experience managing or training teams of data engineers and setting priorities across multiple data engineering workstreams in an agile environment.
- →Communication: Strong written and verbal communication skills, with the ability to engage both technical and business stakeholders.
Requirements
~1 min read- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with corporate data domains such as finance, HR, or shared services (e.g., ERP, HRIS, or enterprise reporting data), or in commercial real estate.
- Experience with NoSQL, graph, or multi-model databases (e.g., CosmosDB, MongoDB) and complex cross-system integrations.
- Familiarity with data cataloging and governance tooling, and with CI/CD and infrastructure-as-code practices.
- Experience with modern lakehouse or data platform architectures and enterprise data platforms.
- Exposure to applying AI/ML or LLM-based capabilities to data engineering and data quality workflows.
What We Offer
~3 min read162,700.00 – 199,300.00 USD per year
Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:
If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
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Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.
Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- 9 days ago
Listing Details
- Posted
- October 7, 2026
- First seen
- October 7, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 8
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- October 16, 2026
Signal breakdown
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