Data Solutions Architect- Databricks/Data & Analytics/AWS

Envision Technology Solutions; Troy (MI); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Envision Technology Solutions seeks a Data Solutions Architect to design enterprise-scale Data & Analytics solutions, with deep Databricks expertise in AWS environments. The role requires governance, program management, and collaboration with enterprise architects to ensure alignment with approved platforms.

Travel within the US is required. The candidate will define architecture for data analytics and AI use cases, lead delivery of data transformations, and ensure scalable, cost-effective

Qualifications

• Extensive IT experience in Data & Analytics solution and data architecture roles.
• Experience with enterprise-scale Data & Analytics solutions and governance.
• Ability to engage senior-level audiences and drive architecture reviews.

Skills

Data architecture

Enterprise-scale data solutions

Data governance

Ingestion and modelling

Communication with senior audiences

Program management

Data lifecycle understanding

Architecture governance

Tools

Databricks

AWS

SAP BW/BDC

Job description

Role: Data Solutions Architect - Databricks/Data & Analytics/AWS

Location: Troy MI (Remote with Travel)

Must Have Technical/Functional Skills

• Extensive IT experience in D&A Solution and Data Architecture roles, with demonstrated expertise in designing enterprise-scale Data and Analytics solutions.
• Travel to locations within or outside US other than the base location as needed for the work.
• Significant hands-on experience with Databricks, preferably in AWS environments.
• Strong knowledge of D&A platforms (including integration/ingestion and analytics) such as Databricks, AWS, and SAP BW/BDC.
• Strong presentation and communication skills, with the ability to engage senior-level audiences.
• Experience with architecture governance, design reviews, and enterprise standards.
• Experience of working in developing D&A solutions in manufacturing or related industries.
• Deep understanding of entire data life cycle including ingestion, modelling, data quality, data governance, Analytics solutions.
• Define architecture for Data Analytics and AI use cases, covering solution patterns across different enterprise data platforms, integrations, and analytics, that is typical of any large, global enterprise.
• Strong program management skills to lead successful delivery of data transformation programs.
• Ensure architectural alignment with SAP, Microsoft, and approved enterprise platforms.
• Evaluate solution options and trade-offs from performance, cost, and scalability perspectives.
• Own architecture governance and design reviews.
• Collaborate with customer's enterprise architects and D&A architects to ensure adherence to enterprise