Sr Staff BI and ML/Advanced Analytics Platform architect
| Company | GE Aerospace |
|---|---|
| Location | Livonia, MI, USA, Cincinnati, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Depth of experience with BI and Analytic platforms such as Spotfire, Data virtualization (TDV), and Dataiku.
- Strong experience in software engineering and Webaps.
- Proficiency in Windows & Linux environments.
- Depth of knowledge in data lake concepts
- Very strong SQL skillset
- Very strong Python skillset
- Hands-on experience with AWS. Depth of knowledge in AWS EKS
- Depth of knowledge of Spark and distributed processing execution
- Depth of knowledge in AWS and S3
- Experience automating manual processes
- Deep experience with information/data architecture
- Deep experience with data engineering
- Knowledge about data science concepts
- Experience with data visualization/Webapps
- Experience with IT process automation.
- Proven ability to teach technical concepts to those without a technical background
- Approachable and able/willing to answer questions from users with a wide variety of backgrounds
- Bachelor’s degree from accredited university or college with minimum of 5 years of professional experience OR Associates degree with minimum of 8 years of professional experience OR High School Diploma with minimum of 10 years of professional experience
- Minimum 5 years of professional experience in BI/ML, and software engineering.
Responsibilities
- Lead and coordinate the domain technical and business discussions relative to future architecture direction across the product portfolio or product line on the data consumption side.
- Drive holistic Platform analytics on the consumer side and hence improving observability and lineage.
- Analyze design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture viewpoint.
- Review and/or analyze and develop architectural requirements at domain level within product portfolio or team.
- Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives.
- Define and maintain BI and analytic KPIs measuring platform adoption, customer experience, and performance.
- Implement MLOps best practices, ensuring deployment and monitoring of AI/ML models.
- Define and implement an end-to-end observability for data consumption services ( BI & Advanced analytics).
- Drive overall architecture vision on the data consumption services and being the single point for AMS services on data consumption side.
- Develop holistic EVM strategy and help drive implementation.
- Establish governance in architecture practices including Gitops & CI/CD.
- Contribute to the development & enhancements of data consumption platforms with reusable components that can be orchestrated together into different methods. Improve customer experience and platform adoption for BI & Analytics platform.
- Lead the architecture design & implementations across multiple teams including Dataiku, Spotfire, and Starfish.
- Drive new POCs in BI & Analytics domains with new tools such as Power BI.
- Leverage AWS services across platforms to enhance service offerings and drive synergy.
Preferred Qualifications
- Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level
- Ability to analyze, design, and develop technology solution roadmap and implementation plan based upon a current vs. future state of the business.
- Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.
- Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth.
- Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating.
- Able to lead early stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments.