Through passion and deep industry expertise, MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. Our strategic solutions, innovation, and industry intelligence help manufacturers gain visibility, improve profitability, and achieve a competitive edge.

Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation. Our Microsoft Specialties include Finance and Supply Chain, Analytics on Azure, Data Warehouse Migration, and Power Platform. We’re also a fifteen-time Microsoft Partner of the Year and three-time Inc. Best Workplaces award winner.

Title Data & AI Solution Architect

Location Virtual, home based office with travel (20%)

Description

The Data & AI Solution Architect is responsible for being a partner to team members, a mentor, and directly enabling growth of the Data & AI Services team at MCA. The Solution Architect is expected to support pre-sales efforts, lead project implementations, drive innovation, upskill and mentor junior teammates, and partner with leadership to drive continuous improvement.

Within a project framework, the Data & AI Solution Architect is responsible for building client relationships, leading delivery teams, effectively utilizing Agile project delivery methodologies, designing scalable and efficient technical architectures to satisfy client requirements, and performing hands on implementations of Microsoft data solutions for MCA Connect’s current and future customers/projects.

Responsibilities

Work across Microsoft technologies in Azure and On-Prem to design, develop and deliver solutions that satisfy client requirements.

Design and document scalable, secure, and efficient data integration and analytics architectures.

Perform complex organization wide analysis and create a Data Strategy to support client specific needs.

Effectively communicate the data strategy, implementation plan, and associated costs.

Mentor's junior resources.

Leads, designs, and implements DevOps and CI/CD solutions.

Owns the project backlog, sprint planning, and task estimations.

Responsible for ensuring projects stay on track, within budget, and that the development team is supported.

Demonstrates the ability to be a key decision maker and strategist.

Understands Data Governance techniques and MCA “Go To Market” Technologies & common Architecture Designs.

Obtain professional certifications to support our partner designations.

Oversee project team and source code.

Understands technology options for batch, streaming, and application integrations

Responsible for designing and creating data models that align with the organization's needs and goals.

Supports technical pre-sales conversations, requirements, and estimations.

Understands Master Data Management approaches and technologies.

Defines project scope, timelines, and resource requirements.

Must be open to ~10% travel on an as needed basis.

Required Qualifications

7+ years Data Warehousing (Azure/SQL/Synapse/Spark/Delta Lake), ETL (ADF Pipelines/SSIS), Analysis Services, DAX, Power BI Pro and Premium and/or equivalent.

2+ years working in a Data Architect capacity.

Familiarity with big data and event driven technologies like Hadoop, Spark, Kafka, Event Hubs, and Service Bus architectures.

High level understanding of various Azure cloud data platforms and services.

Demonstrated experience in designing and implementing data solutions for complex business problems.

Experience working on projects involving large volumes of data, preferably in the Manufacturing industry.

Experience migrating data processing workloads from on-premises to Azure cloud technologies.

Demonstrated the ability to communicate effectively with technical teams, business stakeholders, and other relevant parties.

Bachelor’s degree in computer science or equivalent combination of education and experience preferable.

Knowledge of Microsoft ERP and CRM tools desirable.

Kimball Dimensional Modeling and batch/incremental ETL development approaches.

Experience with database performance tuning activities.

Experience developing and managing data quality monitoring and an understanding of data governance methodologies.

Excellent communication skills both written and verbal.

Title Data & AI Solution Architect

Location Virtual, home based office with travel (20%)

Description

Responsibilities

Work across Microsoft technologies in Azure and On-Prem to design, develop and deliver solutions that satisfy client requirements.

Design and document scalable, secure, and efficient data integration and analytics architectures.

Perform complex organization wide analysis and create a Data Strategy to support client specific needs.

Effectively communicate the data strategy, implementation plan, and associated costs.

Mentor's junior resources.

Leads, designs, and implements DevOps and CI/CD solutions.

Owns the project backlog, sprint planning, and task estimations.

Responsible for ensuring projects stay on track, within budget, and that the development team is supported.

Demonstrates the ability to be a key decision maker and strategist.

Understands Data Governance techniques and MCA “Go To Market” Technologies & common Architecture Designs.

Obtain professional certifications to support our partner designations.

Oversee project team and source code.

Understands technology options for batch, streaming, and application integrations

Responsible for designing and creating data models that align with the organization's needs and goals.

Supports technical pre-sales conversations, requirements, and estimations.

Understands Master Data Management approaches and technologies.

Defines project scope, timelines, and resource requirements.

Must be open to ~10% travel on an as needed basis.

Required Qualifications

7+ years Data Warehousing (Azure/SQL/Synapse/Spark/Delta Lake), ETL (ADF Pipelines/SSIS), Analysis Services, DAX, Power BI Pro and Premium and/or equivalent.

2+ years working in a Data Architect capacity.

Familiarity with big data and event driven technologies like Hadoop, Spark, Kafka, Event Hubs, and Service Bus architectures.

High level understanding of various Azure cloud data platforms and services.

Demonstrated experience in designing and implementing data solutions for complex business problems.

Experience working on projects involving large volumes of data, preferably in the Manufacturing industry.

Experience migrating data processing workloads from on-premises to Azure cloud technologies.

Demonstrated the ability to communicate effectively with technical teams, business stakeholders, and other relevant parties.

Bachelor’s degree in computer science or equivalent combination of education and experience preferable.

Knowledge of Microsoft ERP and CRM tools desirable.

Kimball Dimensional Modeling and batch/incremental ETL development approaches.

Experience with database performance tuning activities.

Experience developing and managing data quality monitoring and an understanding of data governance methodologies.

Excellent communication skills both written and verbal.

Microsoft Data & AI Services Solution Architect

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