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Databricks Manager

  • Databricks Manager job type Posted on: Nov 07, 2026
  • Databricks Manager experience level Qorali
  • Databricks Manager employment type Chicago, Illinois
  • Databricks Manager employment type Onsite
  • Databricks Manager salary Full-time

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Job Title :

Databricks Manager

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Job Description

We're partnering with a technology-driven organisation undergoing a major data transformation and seeking a Databricks Manager to lead enterprise data engineering, analytics, and platform initiatives.

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This is a leadership opportunity for someone who combines hands-on Databricks expertise with proven experience building high-performing teams and delivering modern cloud data platforms at scale.

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What You'll Do

\n
    \n
  • Lead and develop a team of Data Engineers, Analytics Engineers, and Platform Specialists
  • \n
  • Own the Databricks platform strategy, roadmap, governance, and operational excellence initiatives
  • \n
  • Drive the design and delivery of scalable Lakehouse solutions supporting analytics, AI, and business intelligence workloads
  • \n
  • Oversee development of batch and real-time data pipelines using Databricks, Spark, and Delta Lake
  • \n
  • Partner with business leaders, architects, and engineering teams to define enterprise data solutions
  • \n
  • Establish best practices around data quality, security, platform performance, and cost optimisation
  • \n
  • Champion automation, DevOps, and DataOps practices across the data engineering organisation
  • \n
  • Mentor technical teams and foster a culture of innovation, accountability, and continuous improvement
  • \n
\n


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What We're Looking For

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    \n
  • 8+ years of experience in data engineering, analytics, or cloud data platforms
  • \n
  • 3+ years of leadership experience managing data engineering or Databricks teams
  • \n
  • Strong expertise with Databricks, Apache Spark, Delta Lake, and Lakehouse architecture
  • \n
  • Experience delivering enterprise-scale cloud data solutions on AWS, Azure, or GCP
  • \n
  • Deep understanding of data modelling, ETL/ELT frameworks, and modern analytics architectures
  • \n
  • Experience managing stakeholder relationships across technical and business functions
  • \n
  • Strong communication, leadership, and project delivery skills
  • \n
\n


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Preferred Experience

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    \n
  • Databricks certifications
  • \n
  • Experience supporting AI/ML initiatives and advanced analytics programmes
  • \n
  • Familiarity with Terraform, CI/CD pipelines, and Infrastructure as Code
  • \n
  • Experience with streaming technologies and real-time data processing
  • \n
  • Background working within highly regulated or enterprise-scale environments
  • \n
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Compensation & Benefits

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Base Salary: up to $200,000K

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Annual Bonus: 20%

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PTO: 20+ Days

Jobcon Logo Position Details

Posted:

Nov 07, 2026

Reference Number:

74ca32b2bef7ff33

Employment:

Full-time

City:

Chicago

Job Origin:

ziprecruiter

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Job Description

We're partnering with a technology-driven organisation undergoing a major data transformation and seeking a Databricks Manager to lead enterprise data engineering, analytics, and platform initiatives.

\n


\n

This is a leadership opportunity for someone who combines hands-on Databricks expertise with proven experience building high-performing teams and delivering modern cloud data platforms at scale.

\n


\n

What You'll Do

\n
    \n
  • Lead and develop a team of Data Engineers, Analytics Engineers, and Platform Specialists
  • \n
  • Own the Databricks platform strategy, roadmap, governance, and operational excellence initiatives
  • \n
  • Drive the design and delivery of scalable Lakehouse solutions supporting analytics, AI, and business intelligence workloads
  • \n
  • Oversee development of batch and real-time data pipelines using Databricks, Spark, and Delta Lake
  • \n
  • Partner with business leaders, architects, and engineering teams to define enterprise data solutions
  • \n
  • Establish best practices around data quality, security, platform performance, and cost optimisation
  • \n
  • Champion automation, DevOps, and DataOps practices across the data engineering organisation
  • \n
  • Mentor technical teams and foster a culture of innovation, accountability, and continuous improvement
  • \n
\n


\n

What We're Looking For

\n
    \n
  • 8+ years of experience in data engineering, analytics, or cloud data platforms
  • \n
  • 3+ years of leadership experience managing data engineering or Databricks teams
  • \n
  • Strong expertise with Databricks, Apache Spark, Delta Lake, and Lakehouse architecture
  • \n
  • Experience delivering enterprise-scale cloud data solutions on AWS, Azure, or GCP
  • \n
  • Deep understanding of data modelling, ETL/ELT frameworks, and modern analytics architectures
  • \n
  • Experience managing stakeholder relationships across technical and business functions
  • \n
  • Strong communication, leadership, and project delivery skills
  • \n
\n


\n

Preferred Experience

\n
    \n
  • Databricks certifications
  • \n
  • Experience supporting AI/ML initiatives and advanced analytics programmes
  • \n
  • Familiarity with Terraform, CI/CD pipelines, and Infrastructure as Code
  • \n
  • Experience with streaming technologies and real-time data processing
  • \n
  • Background working within highly regulated or enterprise-scale environments
  • \n
\n


\n

Compensation & Benefits

\n

Base Salary: up to $200,000K

\n

Annual Bonus: 20%

\n

PTO: 20+ Days

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