MAT Lead / Cloud Data Engineering Lead
Purple Drive, Minneapolis, MN, United States
Overview:
Job Title
MAT Lead / Cloud Data Engineering Lead (Azure, Snowflake, Databricks)
Location
Onsite - Minneapolis, MN
Experience
10+ years (required)
About the Role
We are looking for a
MAT Lead (Modern Analytics Technology Lead)
to drive and lead cloud-based data engineering programs for our products/solutions team. This role is responsible for building and operating scalable, reliable, and high-performing data platforms that power enterprise data products and analytics.
You will partner closely with
Data Architects
and
Domain Data Stewards
to design and deliver solutions aligned with
business needs
and
Data Mesh principles .
Key Responsibilities
Lead data engineering programs and day-to-day operations supporting analytics/data products.
Design, build, and maintain cloud data infrastructure including
pipelines, storage, and processing frameworks .
Develop and optimize
end-to-end data pipelines
using Azure-native and modern cloud tools.
Ensure platform
scalability, reliability, performance , and effective
resource utilization ; minimize downtime through strong operational practices.
Collaborate with Architects and Data Stewards to implement solutions aligned to
Data Mesh
standards and governance models.
Guide engineering best practices, documentation, and operational excellence for data platforms.
Required Skills & Qualifications
10+ years
of experience in
data engineering / cloud analytics
Strong hands-on experience with
Azure cloud
and modern analytics platforms
Experience with:
Azure Synapse Analytics
Azure Data Factory (ADF)
Databricks
Snowflake
Proven experience building and operating
data pipelines and data platforms
at scale
Strong understanding of
performance tuning, reliability, monitoring, and cost optimization
in cloud environments
Familiarity with
Data Mesh principles
and working with data governance/stewardship stakeholders
Programming/analytics tools:
Python
(required)
Nice-to-Have Skills
SAS
Alteryx
Experience leading cross-functional teams and delivering large programs end-to-end
Job Title
MAT Lead / Cloud Data Engineering Lead (Azure, Snowflake, Databricks)
Location
Onsite - Minneapolis, MN
Experience
10+ years (required)
About the Role
We are looking for a
MAT Lead (Modern Analytics Technology Lead)
to drive and lead cloud-based data engineering programs for our products/solutions team. This role is responsible for building and operating scalable, reliable, and high-performing data platforms that power enterprise data products and analytics.
You will partner closely with
Data Architects
and
Domain Data Stewards
to design and deliver solutions aligned with
business needs
and
Data Mesh principles .
Key Responsibilities
Lead data engineering programs and day-to-day operations supporting analytics/data products.
Design, build, and maintain cloud data infrastructure including
pipelines, storage, and processing frameworks .
Develop and optimize
end-to-end data pipelines
using Azure-native and modern cloud tools.
Ensure platform
scalability, reliability, performance , and effective
resource utilization ; minimize downtime through strong operational practices.
Collaborate with Architects and Data Stewards to implement solutions aligned to
Data Mesh
standards and governance models.
Guide engineering best practices, documentation, and operational excellence for data platforms.
Required Skills & Qualifications
10+ years
of experience in
data engineering / cloud analytics
Strong hands-on experience with
Azure cloud
and modern analytics platforms
Experience with:
Azure Synapse Analytics
Azure Data Factory (ADF)
Databricks
Snowflake
Proven experience building and operating
data pipelines and data platforms
at scale
Strong understanding of
performance tuning, reliability, monitoring, and cost optimization
in cloud environments
Familiarity with
Data Mesh principles
and working with data governance/stewardship stakeholders
Programming/analytics tools:
Python
(required)
Nice-to-Have Skills
SAS
Alteryx
Experience leading cross-functional teams and delivering large programs end-to-end