53 applicants

Company

GE Vernova · 22 hours ago

Sr Data & Information Architect

United States

Full-time

Remote

Senior Level

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ArchitectureData GovernanceSQLAWS ServicesTalendData ModellingDatabricksPythonSparkMachine Learning

Required

Bachelor's Degree

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

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