Domain Enterprise Data Architect / Data Modellers – Electricity & Power retail
Wipro Limited
London, GB
1d ago

The Enterprise Data Architect ensures that projects and products deliver cost effective, sustainable data solutions that align with Shell’s strategic direction.

The Enterprise Data Architect will be expected to coach, guide, manage Solution Data Architects and ensure he / she QAs the development of data models and other artefacts plus influence design decisions throughout the software development lifecycle.

Key deliverables include the reviews and challenge of the Solution Architecture High Level Design covering all necessary data models, matrices, diagrams, controls, and architectural guidance to detail the solution’s data design and enable its physical implementation.

The Enterprise Data Architect will need to collaborate with the Solutions Data Architect to share and guide them in understanding the bigger picture driving the segment, leverage and contribute towards Enterprise artefacts, and deliver in accordance to the strategic guidance and enterprise standards.

The role requires a hands-on approach to data design including specialist knowledge of technologies involved in the implementation of data-based solutions.

Primary Accountabilities

  • Works with Business Analysts, Data Analysts, and Business SME’s to determine the solutions data scope by understanding the business data requirements driving the solution.
  • Works with the Solution Architect to design the end-to-end solution data flows (e.g. API’s) sourcing data from architecturally approved sources (masters) and highlighting any gaps.
  • Works with Analysts, SME’s and Architects to assess data sources and their suitability for the solution. This includes profiling data to infer and communicate pertinent facts about users, systems and data quality from the data sets.
  • Designs conceptual and logical data models to support the business requirements.
  • Uses the logical data model as basis of delivering physical data models or message formats. Works with Software and Data Engineers to ensure they are implemented as designed.
  • Where possible produces DDL for the build of data stores.

  • Ensures that physical models meet all functional requirements and provides input on non-functional aspects such as sizing, performance and scalability.
  • Creates or validates mapping of data across sources, based on data content.
  • Works with the business to determine and document the applicable data quality standards that the data used in the solution needs to adhere to.
  • Works closely with Data Owners to support data quality improvement exercises.
  • Works with other Architects to understand and document interaction between data and applications to determine current and future systems or records and resulting integration requirements.
  • Works with Process Architect and Business Analysts to understand the relevant business processes, and document relationship between process and data to ensure we know what roles create, update, consume and delete data throughout its lifecycle, both as-is and to-be.
  • Ensures all applicable data policies (segregation of duties, business controls, data access controls, legislation, etc.
  • are understood and adhered to. Proactively designs to meet these requirements.

  • Drives and manages the development (and maintenance) of all solution data architecture metadata using Enterprise Tooling and exposing metadata via Data Catalogues.
  • Works across teams to identify existing data designs, patterns, tools or techniques that may facilitate or expedite delivery.
  • Ensures solution data architecture artifacts are created in accordance to data architecture standards.
  • Works with Segment Data Architect to align on the bigger picture driving the Segment.
  • Collaborates with the Segment Data Architect to leverage and contribute to enterprise artefacts ensuring that the solution data architecture is implemented in alignment with the segment strategy.
  • As a Senior Architect, you are responsible for providing technical leadership to medium size / complexity / order-value enterprise scale projects / solutions.

    You are expected have depth of knowledge of specified multiple technological areas, which includes knowledge of applicable processes, methodologies, standards, products and frameworks.

    You would be responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs).

    You should provide technical leadership to project team(s) to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues.

    You are required to guide team of Architects, who would be responsible specific architectural area or part of the architecture / solution.

    You need to collaborate with multiple teams from wipro / customer to arrive at technical and tactical decisions."

    Skills & Requirements :

  • Mastery of core Data Architecture skills including : Data Analysis, Data Profiling, Data Modelling (ERD, Dimensional), Data Warehouse Design (Kimball, Inmon), Big Data Design (Lambda, Kappa), Data Lifecycle management, Master Data Management & implementation patterns, Data Integration patterns and methods.
  • Technology Stack Specialism
  • AWS S3 EDL

    Any experience in integrating and architecting any of the above at a Data level with source systems and data model components from Salesforce or SAP Suite or Adobe Marketing or OSI Soft PI or Mulesoft

  • Business Knowledge and Soft Skills
  • Business knowledge of Customer Services, Payments, Meter to Cash, Billing

    Data Domain understanding of the Data Process Components (e.g. Customers, Bill to Pay, Metering, Payments, Service Provisioning, Regulatory)

    Story telling and business acceptance / business influencing skills

  • Delivery-oriented with focus on results. Must be a doer with a hands-on attitude.
  • Organized and methodical. Ability to initiate, plan and develop according to plan while working with a degree of uncertainty and risk.
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