Databricks
Databricks

60 Databricks Jobs Hiring in Michigan

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 ...

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

Required : • Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) • Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version ...

Hands‑on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) * Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git ...

Required Skill and Experience Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault ...

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Databricks, ADF, PySpark Nice to have skills: SQL, Gen AI, Control-M Detailed Key Responsibilities Design, build, and maintain data pipelines using Azure Databricks Perform data ingestion ...

AI Specialist

Pontiac, MI · On-site

$80/hr

Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL * Data Visualization: Tableau, PowerBI

Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations. * Troubleshoot and resolve production issues involving cluster ...

Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations. * Troubleshoot and resolve production issues involving cluster ...

Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations. * Troubleshoot and resolve production issues involving cluster ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

Senior Databricks Architect

Detroit, MI • On-site

Programmers.io
IT Services • 501 - 1,000 employees

$64 - $84.25/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


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.