Job Description Summary

Job Description

Role Summary/Purpose

The Data and Analytics team helps solve our customers' toughest challenges by leveraging data and analytics. The Sr Data & Information Architect will work as part of the Enterprise Data Architecture team to create state-of-the-art data and analytics driven solutions from the Power Data Lake and beyond, working across multiple domains/sub domains to standardize the existing data lake landscape. This role requires the candidate to build architectural solutions and focus on technical debt reduction by adhering to standard work & compliance needs. This position will work on multiple Data & Information projects as a project leader or internal consultant and is expected to contribute towards the org's modernization effort.

• Drives design and implementation of the data technology roadmap

• Designs a solution that maps a data product or small group of data product outcomes to an enterprise reference architecture

• Performs hands-on execution of proof-of-concepts and complex requirements

• Participates in the data domain technical and business discussions relative to future architect direction

• Assists in the analysis, design and development of a roadmap, design pattern, and implementation based upon a current vs. future state in a cohesive architecture viewpoint

• Gathers and analyzes data and develops architectural requirements at project level

• Participates in the Data Governance Council

• Supports the development data and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses

• Researches and evaluates emerging data technology, industry, and market trends to assist in project development and/or operational support activities

• Coaches and mentors team members

• Effectively monitor and control costs in the organization

• Develops standard data models as Sources of Truth with focus on enabling Self Service

• Develop and enforce development standards and best practices (Standard work) as well as Data Governance standards

• Ensures and set the paths for the zero technical debt environment

• Demonstrate proficiency in implementation of logical/physical data models

• Lead one or more POD(s) in the SAFe environment

• Groom features and plan the end-to-end execution as part of PI planning

• Assigns and Governs tasks given to the developer

• Show good communication skills - both oral and written

• Translates analytics problems into data requirements

• Understands logical and physical data models, big data storage architecture, data modelling methodologies, cloud technologies metadata management, master data management, data lineage & data profiling

• Deeper understanding of how to design, develop, test and optimize with large data sets

• Understand & build in optimal manner extraction, transformation, and loading of data from a wide variety of data sources using SQL, Talend and AWS Services.

• Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team

• Exposure to Analytical tools, Databricks, Python, Spark is desirable

• Understanding of basic Data Science and Machine Learning concepts and the integration of ML model outputs into data pipeline is an added advantage

• Demonstrated awareness of how to function in a team setting

• Distills information down to key points

• Should be able to influence the right solution

• Expresses the information clearly and concisely. Projects knowledge of relevant data

• Demonstrated awareness of how to leverage curiosity and creativity to drive business impact

• Asks follow-up questions when presented with new data/projects. Sees the broader implications of an idea

• Presents new ideas and concepts. Makes connections among previously unrelated ideas

• Deep passion for learning