Barclays
DataEntitlementsEngineer-MarketDataPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Entitlements Engineer - Market Data Platform at Barclays. Skills: Data entitlements systems design and implementation, Entitlements engines and access control frameworks, Modern data platforms (Snowflake, Databricks, KDB), AWS cloud platform, Data governance platforms (e.g., Immuta). Build and maintain systems that collect, store, process, and analyse data. Build and maintenance of data architectures pipelines”
What You'll Achieve.
Ensure that all data is accurate, accessible, and secure; Enable the transfer and processing of durable, complete and consistent data; Manage the appropriate data volumes and velocity and adhere to the required security measures; Deliver on work that impacts the whole business function; Create an environment for colleagues to thrive and deliver to a consistently excellent standard; Meet required outcomes; Support the resolution of escalated issues; Mitigate risk; Strengthen controls; Achieve the objectives of the organisation sub-function; Keep up to speed with business activity and the business strategy; Drive compliant data reuse; Unlock significant cost efficiencies
Industry & Context.
Engage in complex analysis of data from multiple sources of information; Solve problems creatively and effectively
What They're Looking For.
Must Have
Extensive hands-on experience designing and implementing data entitlements systems at enterprise scale, including policy creation, access controls, and entitlement workflows, Deep technical expertise with entitlements engines and access control frameworks (RBAC/ABAC), including implementation and troubleshooting across complex environments, Proven experience implementing entitlements across modern data platforms including Snowflake, Databricks, and KDB, with understanding of their native security models, Strong AWS cloud platform experience, particularly with IAM, Lake Formation, S3 bucket policies, and cloud-native security services
Nice to Have
Experience with Immuta or similar data access governance platforms for policy-based access control and automated compliance, Knowledge of market data workflows and vendor licensing models (Bloomberg, Refinitiv, ICE, etc.) and their entitlement requirements, Ability and willingness to collaborate with cross-functional teams across technology, business, compliance, and vendor management, Active interest in AI and machine learning applications for metadata management, policy recommendation, and entitlement optimization
What You'll Do.
Build and maintain systems that collect
Build and maintenance of data architectures pipelines
Design and implementation of data warehouses and data lakes
Development of processing and analysis algorithms
Collaboration with data scientists to build and deploy machine learning models
Spearhead the automation of data entitlements and license governance
Drive compliant data reuse
Unlock significant cost efficiencies
How You'll Work.
Team & Collaboration
Collaborate closely with other functions/ business divisions; Lead a team performing complex tasks; Lead collaborative assignments and guide team members; Identify the need for the inclusion of other areas of specialisation; Consult on complex providing advice to People Leaders; Perform work that is closely related to that of other areas; Collaborate with other areas of work, for business aligned support areas; Collaborate with cross-functional teams across technology, business, compliance, and vendor management
Communication Scope
Communicate complex information; Influence or convince stakeholders to achieve outcomes
Process & Methodology
Set objectives and coach employees, Appraisal of performance relative to objectives, Determination of reward outcomes, Identify new directions for assignments and/or projects
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. **Assistant Vice President Expectations** * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional
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