Job Description 1. Extensive consultancy or business partnering experience with the ability to sell ideas and get stakeholders to buy into new concepts - Partnering with business and technical stakeholders to understand and capture business problems (e.g. create compelling products around identity and aggregated insights) and identify data opportunities - Communicating solution approaches to technical and non-technical stakeholders that address short-term business needs but evolve to support long-term needs and to align to the data roadmap. Advice on approach and trade-offs - Working with the business owner as technical liaison in conversations with a prospective partner 2. Analytical Problem-Solving: Approaching high-level data challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources - Contributing to the development of the data strategy and roadmap and ensuring it aligns and supports the business and technology roadmaps and enables the expected business outcomes. Create a fluid, end-to-end vision for how data will flow through an organization - Working with architects, subject matter experts, and developers to understand the technology landscape and produce integrated end-to-end solution options that manifest the data roadmap 3. Expert Management: Effectively directing and advising a team of data modelers, data engineers, database administrators, and junior architects - Developing concepts and complete DPI assessments to ensure compliance with data protection legislation - Advising and supporting all aspects of data governance, Meld new systems with existing warehouse structures and maintain a corporate repository of all data architecture artifacts and procedures - Documenting and presenting architecture, models, diagrams to development teams, architecture review board, and technical leadership 4. Industry Knowledge: Understanding the way your chosen industry functions and how data are collected, analyzed and utilized; maintaining flexibility in the face of big data developments - Extensive practical Data architecture experience (including Big Data), with experience in analytics, data protection legislation and data monetization - Experience of Strategic Planning, Portfolio Management and developing business roadmaps - Knowledge of data mining and segmentation techniques, expertise in SQL/Oracle/ Hadoop and NoSQL databases, proficiency in MS Excel, AWS tools, managing unstructured data, etc - Familiarity with data visualization tools (e.g. Tableau, etc), ETL tools, UML, etc - Extensive experience of documenting target data models and transition states at an Enterprise level - Experience in developing and leveraging Architecture Principles - Experience working in Agile environments

Mumbai

Aditya Birla Capital - Data Architect 

Aditya Birla Capital - Data Architect  ,Job Description for Aditya Birla Capital - Data Architect  in Aditya Birla Capital Limited in  Mumbai for (4-8) years of experience. Apply Now!

Job Description for Aditya Birla Capital - Data Architect  in Aditya Birla Capital Limited in  Mumbai for (4-8) years of experience. Apply Now!