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Azure Databricks Jobs in Minneapolis, MN (NOW HIRING)

Integres, LLC

Azure Database Architect

Saint Paul, MN · On-site +1

$64.50 - $83/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with Azure Databricks and Oracle Databases . * Experience with Azure Data Factory, Azure Monitor, SQL Analytics, Query Performance Insight, Azure Resource Manager, Azure CLI ...

Healthcare Triangle Inc

Databricks Lead

Minneapolis, MN · On-site

$107K - $140K/yr

Work with Azure/AWS , Databricks Workflows, Unity Catalog, and cloud storage. * Optimize performance, data quality, and cost of Databricks workloads. * Mentor engineers and provide technical ...

New

Noblesoft Technologies

Azure Database Engineer

Saint Paul, MN · On-site

$55.75 - $69/hr

Azure Database Engineer (Level 1 & 2) Duration: 12 months Location: Saint Paul, MN - Hybrid Locals ... Experience with Databricks. * Experience with Oracle databases. * Strong experience developing and ...

CS Solutions, Inc.

Azure Data Architect

Saint Paul, MN · On-site

$64.25 - $83.75/hr

Azure Database Architect Location: St. Paul, MN Hybrid Duration: 12+ Months Scope :As an Azure ... Strong experience with Databricks. * Strong experience with Oracle databases. * Experience ...

Noblesoft Technologies

Azure Data Architect

Saint Paul, MN · On-site

$64.25 - $83.75/hr

Azure Data Architect Duration: 12 months Location: Saint Paul, MN - Hybrid Locals candidates only ... Strong experience with Databricks. * Strong experience with Oracle databases. * Experience ...

Enclipse Corp.

Azure Database Architect

Saint Paul, MN · On-site

$64.25 - $83.75/hr

Required Skills: · Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure. · Strong experience with Databricks. · Strong ...

Dlapiper

Data Engineer

Minneapolis, MN

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Expleo

Azure Database Architect

Saint Paul, MN · Remote

$63.50 - $83/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with Databricks in enterprise environments * Strong Oracle Database experience ... Experience using Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure ...

Centstone

Database Architect

Minneapolis, MN · Remote

$65.25 - $84/hr

Hands-on experience with Azure Databricks . * Strong experience with Oracle Database . * Experience designing and implementing cloud-based data platforms. * Experience with Azure Data Factory and ...

Milliman

Healthcare Data Analyst (MedInsight)

Eden Prairie, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Databricks * Comparable scripting or analytical tools Required Skills: * Proficiency writing SQL queries for data extraction and analysis. * Strong analytical, critical thinking, and problem ...

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Showing results 21-40

All JobsAzure Databricks JobsAzure Databricks Jobs in Minneapolis, MN

Azure Databricks information

See Minneapolis, MN salary details

$11

$60

$83

How much do azure databricks jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for azure databricks in Minneapolis, MN is $60.96, according to ZipRecruiter salary data. Most workers in this role earn between $55.19 and $68.51 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in Minneapolis, MN?

The most popular types of Azure Databricks jobs in Minneapolis, MN are:

What are popular job titles related to Azure Databricks jobs in Minneapolis, MN?

For Azure Databricks jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Azure Databricks jobs in Minneapolis, MN look for?

The top searched job categories for Azure Databricks jobs in Minneapolis, MN are:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Minneapolis, MN as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $126,797 per year, or $61 per hour.

Lead Solution Cloud Architect

ExlService Holdings, Inc.

Minneapolis, MN • On-site

$140K - $170K/yr

Full-time

Posted 18 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

133rd of 491 rated business services

Job description


About the Role
EXL Service is seeking an accomplished Data (DBX) Leader with 12-15 years of progressive experience in designing, implementing, and governing enterprise cloud and data architectures. The ideal candidate brings deep expertise in AWS and Databricks, with strong architectural leadership capabilities from Banking and Financial domain. Exposure to Azure cloud services is a significant advantage.
This is a senior/lead role responsible for shaping cloud strategy, guiding engineering teams, and ensuring that solutions meet enterprise standards for scalability, security, performance, and cost-efficiency.
Key Responsibilities:
Cloud & Data Architecture
  • Architect and design enterprise-grade cloud solutions leveraging AWS services (EC2, S3, Glue, Lambda, Kinesis, IAM, Redshift, EMR).
  • Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
  • Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
  • Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.
  • (Preferred) Architect cloud/on-prem hybrid data platforms using Azure services such as Azure Data Lake, ADF, Azure Databricks, Synapse, etc.

Solution Design & Delivery -
  • Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
  • Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
  • Oversee end-to-end delivery, guiding engineering and DevOps teams through implementation and optimization.
  • Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings.

Technical Leadership -
  • Provide thought leadership and hands-on direction to data engineering, analytics, DevOps, and platform teams.
  • Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
  • Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.

Stakeholder & Client Management
  • Good in client engagement and Act as technical SME for client conversations, workshops, and executive presentations.
  • Communicate complex architectural concepts clearly to both technical and non-technical audiences.
  • Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.

Required Skills & Experience: Technical Expertise
  • 12-15 years of overall IT experience with strong focus on cloud, data engineering, and enterprise architecture in Banking and Financial domain.
  • 5+ years of hands-on experience architecting production solutions on AWS.
  • 3+ years' strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog).
  • Proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
  • Deep understanding of data modeling, data governance, metadata management, and modern security practices.
  • Experience with CI/CD pipelines, Terraform / CloudFormation, GitOps, and end-to-end automation.
  • Strong knowledge of cloud networking, VPCs, IAM, encryption, identity governance, and security frameworks (NIST, CIS benchmarks).
  • (Preferred) Experience with Azure cloud architecture, including Azure Databricks, ADF, ADLS, Synapse, and Azure DevOps.
    Base Compensation Range: $140,000-$170,000
    The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Responsibilities
Key Responsibilities
Cloud & Data Architecture
  • Architect and design enterprise-grade cloud solutions leveraging Azure services (Azure Virtual Machines, Azure Blob Storage, Azure Data Factory, Azure Functions, Azure Event Hubs, Azure Active Directory and Azure Synapse Analytics).
  • Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
  • Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
  • Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.
  • Architect cloud/on-prem hybrid data platforms leveraging the full Azure ecosystem including Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Purview, and Azure DevOps.

Solution Design & Delivery
  • Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
  • Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
  • Oversee end-to-end delivery, guiding engineering and DevOps teams through implementation and optimization.
  • Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings.

Technical Leadership
  • Provide thought leadership and hands-on direction to data engineering, analytics, DevOps, and platform teams.
  • Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
  • Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.

Stakeholder & Client Management
  • Act as technical SME for client conversations, workshops, and executive presentations.
  • Communicate complex architectural concepts clearly to both technical and non-technical audiences.
  • Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.

Qualifications
  • 12-15 years of overall IT experience with strong focus on cloud, data engineering, and enterprise architecture.
  • 5+ years of hands-on experience architecting production solutions on Microsoft Azure.
  • 5+ years' strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog).

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.
About the Team
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.

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