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Databricks Architect Jobs in Michigan (NOW HIRING)

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Job Overview We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI ...

Deloitte

Databricks Manager

Detroit, MI

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Deloitte

Azure/Databricks Infrastructure Engineer

Detroit, MI · On-site

$55.25 - $73.75/hr

Participate in architecture reviews, technical workshops, client discussions, and operational ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

Deloitte

Databricks Manager

Detroit, MI · On-site +1

Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for ... Lead solution reviews and design update discussions to drive architecture decisions and secure ...

Deloitte

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Data / BI Architect Location: Pontiac, MI Duration: 12Months + About role: Data Business ... Databricks, Snowflake, Informatica); • Databases: SQL & relational/non-relational (SQL Server ...

Sun Communities, Inc.

Data Platform Architect

Southfield, MI · On-site

$58.50 - $75.25/hr

Demonstrated proficiency with modern cloud data environments such as Databricks, Snowflake, Azure Synapse/Fabric, BigQuery, Redshift (Required) * Experience defining architecture standards, reusable ...

Sun, Inc.

Data Platform Architect

Southfield, MI

$58.50 - $75.25/hr

Demonstrated proficiency with modern cloud data environments such as Databricks, Snowflake, Azure Synapse/Fabric, BigQuery, Redshift (Required) * Experience defining architecture standards, reusable ...

Sun RV Resorts

Data Platform Architect

Southfield, MI

$58.50 - $75.25/hr

Demonstrated proficiency with modern cloud data environments such as Databricks, Snowflake, Azure Synapse/Fabric, BigQuery, Redshift (Required) * Experience defining architecture standards, reusable ...

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All JobsDatabricks Architect JobsDatabricks Architect Jobs in Michigan

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are the most commonly searched types of Databricks Architect jobs in Michigan? The most popular types of Databricks Architect jobs in Michigan are:
What are popular job titles related to Databricks Architect jobs in Michigan? For Databricks Architect jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Michigan look for? The top searched job categories for Databricks Architect jobs in Michigan are:
What cities in Michigan are hiring for Databricks Architect jobs? Cities in Michigan with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Michigan as of June 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Senior Databricks Architect

Senior Databricks Architect

Programmers.io

Detroit, MI • On-site

$64 - $84.25/hr

Contractor

Posted 9 days ago

Job description

Job Overview

We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI job modernization. The ideal candidate has extensive experience building enterprise-grade data platforms on Databricks, has executed at least one greenfield Databricks implementation, and is exceptionally strong in PySpark, Spark SQL, framework development, and Databricks Workflows.

Key Responsibilities

  • Architect, design, and implement cloud-native data platforms using Databricks (ingestion → transformation → consumption).
  • Lead the full Oracle → Databricks migration including schema translation, ETL/ELT logic modernization, and ODI job replacement.
  • Develop reusable PySpark frameworks, data processing patterns, and orchestration using Databricks Workflows.
  • Build scalable, secure, and cost‑optimized Databricks infrastructure and data pipelines.
  • Collaborate with business and technical stakeholders to drive data modernization strategy.
  • Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns.
  • Provide technical mentorship and create training plans for engineering teams.
  • Contribute to building MLOps and advanced operations frameworks.

Required Qualifications

  • 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering end‑to‑end cloud data solutions.
  • Strong experience migrating from Oracle/on‑prem systems to Databricks, including SQL, PL/SQL, ETL logic, and ODI pipelines.
  • Deep hands-on expertise in:
    • PySpark, Spark SQL, Delta Lake, Unity Catalog
    • Building reusable data frameworks
    • Designing high‑performance batch and streaming pipelines
  • Proven experience with greenfield Databricks implementations.
  • Strong understanding of cloud-native architectures on AWS and modern data platform concepts.
  • Solid knowledge of data warehousing, columnar databases, and performance optimization.
  • Good understanding of Agile/Scrum development processes.
  • Bonus: Experience designing Data Products, Data Mesh architectures, Data Vault or enterprise data governance models.
  • Good Understanding of Golde Gate.