Azure Solution Data Architect (ETRM)

Wipro is an exciting organization to work for. In our first year entering, we ranked as a “Top Employer” as part of the Top Employer Institute annual listings, and we were assessed on several key HR practices including People Strategy, Work Environment, Talent Acquisition, Learning and Development, Wellbeing and Diversity and Inclusion. This is accompanied by exciting business growth as well where Wipro has posted continued growth in the last 6 quarters coming into 2022. PURPOSE & ACOUNTABILITES: The Solution Data Architect is a Data Architect delivering the data architecture for IT solutions, as part of an IT delivery teams. They ensure that projects and products deliver cost effective, sustainable data solutions that align with strategic direction. The Solution Data Architect will be expected to develop data models and other artefacts and influence design decisions throughout the software development lifecycle. Key deliverables include 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. Segment Architects and Segment Data Architects are accountable for Enterprise Architecture for one or more business portfolios (Segments). The Solution Data Architect will need to collaborate with the Segment Data Architect to understand the bigger picture driving the business portfolio (Segment), leverage and contribute towards Enterprise artefacts, and deliver in accordance with 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. RESPONSIBILITES INCLUDE 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 with 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. DIMENSIONS: § Demonstrable and solid experience in data architecture skills and competence requirements of this role. § Solid IT delivery background, developed during your career as an IT professional, ideally across multiple IT disciplines (development, architecture, business analysis, data modelling, integration, etc.). § Minimum Education or Certification: 4-year Degree related to IT. § Depending on level of seniority, will be required to coach other less senior Architects, or less senior colleagues in project delivery teams on the value of architecture. SKILLS & REQUIRMENTS: We are looking for an experienced Solution Data Architect bringing a broad set of skills defined below, acknowledging some are very specific, so certain skill gaps might be filled in role if the candidate can demonstrate they broadly meet the requirements of the role. § 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. § Mastery of technologies involved in data management (database management systems, data services, data lakes, etc.). § Mastery of Enterprise Architecture Frameworks (TOGAF) and application thereof. § Mastery of Data Architecture and Enterprise Architecture tooling such as PowerDesigner and BiZZdesign. § Experience of working with Agile Delivery teams and a knowledge of DevOps constructs. § Experienced, global, virtual team worker. § Knowledge of all architecture aspects and keen to stay up to date with key developments in IT. § Affinity with the other Enterprise Architecture domains (process, application, infrastructure, security and information risk). § Desirable Skills: - intermediate to advance exposure to below skills. § Azure Active Directory, Azure Data Factory, Azure Data Lake, Azure Storage, Azure Functions, Azure Kubernetes Service, Cosmos DB, Azure Synapse. § AWS RDS, AWS EC2, S3 § Integration: MuleSoft, Kafka, Aspera § Other Technologies/Platforms: - SAP HANA, Spark, Salesforce, API management, Multifactor authentication. § Programming/Scripting Languages: Python, SQL, T-SQL, Scala. Soft skills § Ability to build a shared vision with good “storytelling” abilities. Strong people skills and the ability to communicate well (both orally and written) in a manner appropriate to the audience (technical, non-technical, business or IT stakeholders). § Ability to drive change using influence and networking. § Delivery-oriented with focus on results. Must be a doer with a hands-on attitude. § Experienced virtual team worker with ability to work across time, geographical, and cultural boundaries. § Exposure to business analysis skills. § Willingness to stay up to date with key developments in IT. § Delivery focused with pro-active / hands-on attitude. § Organized and methodical. Ability to initiate, plan and develop according to plan with a level of uncertainty and risk. § Rigorous, thorough and with an eye for detail. § Experience working in a large industry IT organisation is a plus. § Understanding of project delivery methodologies and software development lifecycle. Preferred Business Domain § Desirable to have good understanding of one or more of Commodity Trading, Oil, Gas, Credit Risk, Market Risk, Master Data Management, Commercial B2B Marketing, B2B Customer Operations, Logistics, Supply Chain Management. Unique Skills & Requirements of the Posting § None. ETRM Energy Trading and Risk Management