Data Analytics Architect

Key areas in the role:

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Key areas in the role:

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• Define and Develop Data Architecture that aids organization and clients in new/ existing deals
• Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation
• Assess the benefits and risks of data by using tools such as business capability models to create a data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy
• Create data strategy and road maps for the Reference Data Architecture as required by the clients
• Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request
• Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise
• Develop, communicate, support and monitor compliance with Data Modelling standards
• Oversee and monitor all frameworks to manage data across organization
• Provide insights for database storage and platform for ease of use and least manual work
• Collaborate with vendors to ensure integrity, objectives and system configuration
• Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization
• Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage
• Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes
• Knowledge of all the Data service provider platforms and ensure end to end view.
• Oversight all the data standards/ reference/ papers for proper governance
• Promote, guard and guide the organization towards common semantics and the proper use of metadata
• Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control
• Provide solution of RFP’s received from clients and ensure overall implementation assurance
• Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives
• Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data
• Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology
• Define and understand current issues and problems and identify improvements
• Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout
• Understand the root cause problem in integrating business and product units
• Validate the solution/ prototype from technology, cost structure and customer differentiation point of view
• Collaborating with sales and delivery leadership teams to identify future needs and requirements
• Tracks industry and application trends and relates these to planning current and future IT needs
• Building enterprise technology environment for data architecture management
• Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes
• Evaluate all the implemented systems to determine their viability in terms of cost effectiveness
• Collect all the structural and non-structural data from different places integrate all the data in one database form
• Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports
• Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices
• Implement the best security practices across all the data base based on the accessibility and technology
• Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG)
• Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration
• Enable Delivery Teams by providing optimal delivery solutions/ frameworks
• Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor
• Define database physical structure, functional capabilities, security, back-up and recovery specifications
• Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results
• Monitor system capabilities and performance by performing tests and configurations
• Integrate new solutions and troubleshoot previously occurred errors
• Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards
• Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects
• Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams
• Recommend tools for reuse, automation for improved productivity and reduced cycle times
• Help the support and integration team for better efficiency and client experience for ease of use by using AI methods.
• Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams
• Ensures architecture principles and standards are consistently applied to all the projects
• Ensure optimal Client Engagement
• Support pre-sales team while presenting the entire solution design and its principles to the client
• Negotiate, manage and coordinate with the client teams to ensure all requirements are met
• Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor

Necessary skills required:

Bonus:

Where:

Where:

• United Kingdom, Middle East

This role offers:

• Highly competitive salary and package
• Flexible hybrid working model
• Excellent progression opportunities
• Opportunity to further your career in a senior leadership role

We Offer:

• Work together with data engineers, data architects and data analysts who are all passionate and excel in their domain
• Develop a pragmatic consultant’s way of running projects with focus on outcome and business value
• See your efforts turn into solutions which really make a difference
• Get in touch with clients from different industries working on varying business problems
• Work with all major cloud computing providers and encounter a variety of different setups and technical challenges
• A strong and motivated team as well as numerous get-togethers and events
• Flexible working hours, home office and various working time models
• Remote Policy so you have some variety to yourself in the current times
• Flat team hierarchy where ideas can be changed to action in no time

Who are we:

• We are [Employer hidden] – an IT Consultancy firm of experienced thinkers & makers. One agency uniting creativity, technology and data. Helping reinvent & accelerate your digital reality by creating experiences that people want and businesses need.
• We are happy about human beings of any gender.

How to Apply:

If this sounds like your perfect role, send your latest resume in MS-Word or PDF format to [contact hidden]

Contact us

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Corporate Office Address

The Future Works, 2 Brunel Way, Slough, Berkshire SL1 1XL, United Kingdom

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