What this job involvesAs a Senior Data Engineer on the Data Consumption team, you will own the design and delivery of data contracts and Delta Sharing across JLL's Enterprise Data Platform, giving downstream teams governed, self-service access to trusted data. This role is for an experienced engineer who has delivered at least one large or complex data platform initiative and is ready to lead a foundational capability that other data engineers and business teams will build on.
What you'll get to doAs a Senior Data Engineer, you will have ownership over the data contract framework and Delta Sharing implementation that underpins data consumption across JLL. Your customers are the analytics, reporting, and product teams across every JLL business line who depend on this platform for governed access to trusted data, as well as the data engineers who will follow the standards you set. Your mission is to make data consumption safe, self-service, and consistent - replacing ad-hoc access and one-off pipelines with a governed, contract-first sharing model. This is an opportunity to shape a capability that becomes the standard way every domain at JLL shares and consumes data.
Key responsibilitiesData Contract Design & Implementation: Lead the design and rollout of data contracts that define schema, quality, and ownership expectations between data producers and consumers across the platform.
Delta Sharing Architecture & Delivery: Own the end-to-end build of Delta Sharing capabilities, enabling secure, governed, cross-team and cross-organization data access without physical data duplication.
Data Governance & Quality Enforcement: Build automated validation and quality checks that enforce contract compliance at ingestion and consumption points, and drive adoption of these standards across engineering teams.
Data Modeling & Schema Design: Design shared, versioned data models and access patterns that balance domain-specific needs with platform-wide consistency.
Platform Integration: Integrate data contract and sharing capabilities into JLL's broader Enterprise Data Platform, working within existing ingestion, storage, and API frameworks.
API & Service Design: Design and build the services and interfaces that let downstream teams discover, request, and consume shared datasets independently.
Mentorship & Best Practices: Mentor junior and mid-level data engineers on data contract and sharing patterns, and act as the initial subject matter expert for the data consumption team.
Automated Testing & Reliability: Build complex automated test suites that validate contract enforcement, data lineage, and sharing reliability at scale.
Cross-Functional Collaboration: Partner with data producers, platform architects, and business stakeholders to translate consumption needs into contract and sharing requirements.
Documentation & Enablement: Produce clear technical documentation and onboarding materials so other teams can adopt data contracts and Delta Sharing with minimal support.
Who you areYou are a seasoned data engineer who challenges the status quo rather than accepting ad-hoc, undocumented data access as good enough. You have led at least one large or complex data delivery before, and you're energized by taking a fuzzy, cross-team problem - like how dozens of teams should safely consume shared data - and turning it into a concrete, well-tested platform capability. You mentor the engineers around you as naturally as you write code, and you move fluidly between deep technical design work and the stakeholder conversations needed to get a new standard adopted.
Qualifications and skillsRequired Qualifications- 5+ years of data engineering experience, including at least one large-scale or complex implementation delivered end-to-end.
- Intermediate-to-advanced Python and SQL, with hands-on experience designing and optimizing data pipelines in a cloud environment (Azure preferred).
- Direct experience with data contracts, schema governance, or data quality enforcement in a production data platform.
- Experience with Delta Lake, Delta Sharing, or comparable data-sharing / lakehouse technologies.
- Strong PySpark experience, including performance optimization and troubleshooting via Spark UI.
- Experience designing and building API services for data access or integration.
- Demonstrated experience mentoring junior engineers and acting as a technical point of contact within a team.
- Comfort working across scrum teams and collaborating with both engineering and business stakeholders.
Preferred Qualifications- Experience with Databricks, Unity Catalog, or similar data catalog and governance tooling.
- Familiarity with data mesh principles and federated data ownership models.
- Experience with Azure Data Factory, Event Hubs, or other Azure-native data integration services.
- Background in commercial real estate, enterprise data platforms, or B2B SaaS data products.
- Experience contributing to CI/CD pipelines for data engineering workflows.
Key attributes- Problem-Solving Skills: You break down ambiguous, cross-team data problems into concrete, deliverable solutions.
- Ownership & Drive: You take a project from design through adoption without needing to be told what's next.
- Collaboration: You work naturally across engineering and business stakeholders to align on shared standards.
- Communication: You explain complex data architecture decisions clearly to both technical and non-technical audiences.
- Adaptability & Speed: You adjust designs quickly as new consumption needs and platform constraints emerge.
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Estimated compensation for this position:147,000.00 - 181,000.00 USD per year
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:Remote -Austin, TX, Chicago, IL, Dallas, TX, New York, NY, San Francisco, CA, Seattle, WA
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!
Personalized benefits that support personal well-being and growth: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 may include:
- 401(k) plan with matching company contributions
- Comprehensive Medical, Dental & Vision Care
- Paid parental leave at 100% of salary
- Paid Time Off and Company Holidays
- Early access to earned wages through Daily Pay
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
Accepting applications on an ongoing basis until candidate identified.
