Staff Data

Essential Responsibilities

As a Data Architect you will be part of a cross-disciplinary team working on development projects, typically involving large, complex data sets. This person will act as POD lead to guide and influence teams of Data Architects, Data Engineers, RTE, Scrum Masters, Product Managers working in concert with partners in GE business units. Potential areas for development could include any data set within the Power Data Lake or beyond but with a focus on delivering outcomes in more than one functional sub domains

In this role you will:

- Influences LPBs and below on their decisions
- 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

Qualifications/Requirements
- Bachelor's Degree

Desired Characteristics

Technical Expertise:

- 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

Leadership:

- 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

Personal Attributes:

- 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