Solutions Architect

Akaasa Technologies

Lansing, MI, United States

23 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Data Analysis Architectural Patterns Cloud Computing Cloud Engineering Information Systems Data as a Services Data Architecture Information Engineering Data Governance Data Infrastructure Data Mart

+23 more

Data Security Data Warehousing Federal Enterprise Architecture R (Programming Language) Python (Programming Language) NoSQL Operational Data Store Power BI Cloud Services Azure Machine Learning SQL Databases Tableau (Software) Enterprise Data Management Cloud Platform System Data Strategy Togaf Data Lakes Information Technology Data Management Machine Learning Operations DODAF Service Stack Databricks

Job description

We are seeking a Data Platform Architect / Data Warehouse Architect (Level 5) to lead the modernization of enterprise data platforms and data warehouse capabilities. The ideal candidate will develop target-state data architecture and support the delivery of Data, Analytics, and ML products aligned with enterprise strategy, data governance, security, and business objectives., * Develop Enterprise Data Strategy, Data Landscape, and Target-State Architecture using frameworks such as TOGAF, FEAF, or DODAF.

Design and modernize Enterprise Data Platforms (EDP), Data Warehouses, Data Lakes, Analytics, and ML platforms.
Develop Reference Architectures, Architecture Patterns, Standards, and Best Practices.
Lead architectural reviews and manage exceptions to maintain enterprise architectural integrity.
Drive innovation through POCs, co-development, emerging technologies, and vendor partnerships.
Lead or support RFI/RFP processes for selecting Data Platform and Cloud Service Provider technologies.
Architect Data Services and Data Products aligned with enterprise standards and business needs.
Ensure implementation of Data Governance and Data Security standards across Data, Analytics, and ML products and pipelines.
Support MDHHS data warehouse and analytics platform modernization initiatives., Cloud Architect Own the end-to-end cloud architecture strategy and the enterprise-wide design standards that enable secure, resilient, and cost-effective delivery of critical bus…
3 days ago

Requirements

5+ years of experience developing Enterprise Data Architecture, Data Strategy, and Data Landscape in partnership with Enterprise Architects.
5+ years of experience developing Reference Architectures, Architecture Patterns, and conducting Architectural Reviews.
3+ years of experience driving RFP/RFI processes, vendor partnerships, and Data Platform innovation.
Experience with Enterprise Data Platforms and the full technology stack required to support Data Engineering, Analytics, and ML pipelines.
Strong understanding of Data Governance, Data Security, and Enterprise Architecture standards.
Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

Preferred Skills

Data Lake, Delta Lake, EDP, Data Warehousing, Data Marts, Databricks
SQL, Python, R, Java
NoSQL, GraphDB, Operational Data Stores
Power BI, Tableau
Experience with cloud-based data platforms and modern analytics technologies.

Highly Desired

Experience ensuring Data Engineering initiatives, POCs, technology refreshes, and implementations align with Enterprise Architecture standards.
Experience tracking architectural adherence and improving Data Engineering capability maturity across teams.