Barclays
Market Data
SeniorDataEntitlementsEngineer-MarketDataPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Entitlements Engineer - Market Data Platform at Barclays. Skills: Data Entitlements, License Governance, Market Data Platform, AWS, Snowflake, Databricks, KDB. Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent dat”
What You'll Achieve.
Deliver measurable business impact through automation, AI, and a modern tech stack; Ensure that all data is accurate, accessible, and secure; Enable and accelerate the Markets data strategy
Industry & Context.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives; In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions; Adopt and include the outcomes of extensive research in problem solving processes
What They're Looking For.
Must Have
Expert-level experience designing and implementing entitlement and license governance frameworks for data platforms, Expertise and hands-on experience with entitlements engines and access-control models (RBAC, ABAC,. . . ), Demonstrated experience implementing and managing entitlements across multiple analytics and data platforms — specifically AWS (IAM, Lake Formation), Snowflake, Databricks, and/or KDB, Strong AWS cloud experience, including identity federation, and security services relevant to data access and governance
Nice to Have
Experience with Immuta or comparable data-access governance platforms for policy authoring, auditing, and dynamic data masking across multi-platform environments, Solid understanding of market data licensing models and vendor data entitlement requirements, Proven ability and willingness to collaborate with diverse internal stakeholders across technology, data management, compliance, and front-office business teams to translate requirements into scalable solutions
What You'll Do.
Build and maintain the systems that collect
such as data pipelines
data warehouses and data lakes to ensure that all data is accurate
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable
complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
implementation and application of enterprise‑scale entitlement and license governance for a new market data platform
How You'll Work.
Team & Collaboration
Collaboration with data scientist to build and deploy machine learning models; Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies; Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes; Collaborate with diverse internal stakeholders across technology, data management, compliance, and front-office business teams to translate requirements into scalable solutions
Communication Scope
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment; Influencing and negotiating skills
Process & Methodology
Plan resources, budgets, and manage and maintain policies/ deliver continuous improvements and escalate breaches of policies/procedures, If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes, They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard, For an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction, They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments, Manage and mitigate risks through assessment, in support of the control and governance agenda, Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does
Full Job Description
# **Job Description** **Purpose of the role** To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. **Accountabilities** * Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. * Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. * Development of processing and analysis algorithms fit for the intended data complexity and volumes. * Collaboration with data scientist to build and deploy machine learning models. **Vice President Expectations** * To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. * If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. * OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. Th
Applying for this Senior Data Entitlements Engineer - Market Data Platform role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Barclays?
Real rants from real employees. Read before you apply.