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Databricks Architect Jobs in Canton, MI (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 ...

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 ...

Hylant

Lead Data & Analytics Architect

Detroit, MI · On-site

The Lead Data Architect exists to define, own, and evolve Hylant's enterprise application and ... Azure Databricks, Microsoft Data Factory, Delta Lake, Unity Catalog, and Azure cloud services.

Hylant

Lead Data & Analytics Architect

Ann Arbor, MI · On-site

The Lead Data Architect exists to define, own, and evolve Hylant's enterprise application and ... Azure Databricks, Microsoft Data Factory, Delta Lake, Unity Catalog, and Azure cloud services.

General Motors

Business Data Architect

Warren, MI · On-site

$60 - $77/hr

The Role The Business Data Architect serves as the organization's data governor, thought leader ... Experience with data integration platforms, tools, and techniques such as Azure Databricks, Spark ...

General Motors

Business Data Architect

Warren, MI · On-site

$60 - $77/hr

The Role The Business Data Architect serves as the organization's data governor, thought leader ... Experience with data integration platforms, tools, and techniques such as Azure Databricks, Spark ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Designs, builds and maintains scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake * Develops and optimizes data workflows for batch and streaming data processing * Architects ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Designs, builds and maintains scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake * Develops and optimizes data workflows for batch and streaming data processing * Architects ...

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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?

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.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are popular job titles related to Databricks Architect jobs in Canton, MI? For Databricks Architect jobs in Canton, MI, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Canton, MI look for? The top searched job categories for Databricks Architect jobs in Canton, MI are:
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Databricks Architect jobs near you

Senior Databricks Architect

Programmers.io

Detroit, MI • On-site

$64 - $84.25/hr

Contractor

Re-posted 5 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.