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Manager Databricks Data Engineer Jobs in Pennsylvania

Azure Databricks Data Architect

Trappe, PA · On-site

$63 - $81/hr

Design end-to-end enterprise data architecture and lifecycle management. * Develop conceptual ... Collaborate with Agile and DevOps teams for CI/CD and deployment automation. * Design enterprise ...

Azure Databricks Data Architect

Trappe, PA · On-site

$63 - $81/hr

Design end-to-end enterprise data architecture and lifecycle management. * Develop conceptual ... Collaborate with Agile and DevOps teams for CI/CD and deployment automation. * Design enterprise ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and ...

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and ...

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ... g., Azure DevOps). * Experience in data warehouse design (e.g., slow changing dimensions ...

Data Engineer

West Chester, PA · On-site

$108K - $130K/yr

Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ... g., Azure DevOps). * Experience in data warehouse design (e.g., slow changing dimensions ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

Data Engineer

Norristown, PA

$109K - $131K/yr

Designing solutions using Microsoft Azure services, Databricks, and other tools * Assuring that ... data management practices * Azure Synapse Analytics, Azure DevOps * Knowledge of Purview, Power BI ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

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Showing results 1-20

Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

What are the most commonly searched types of Databricks Data Engineer jobs in Pennsylvania? The most popular types of Databricks Data Engineer jobs in Pennsylvania are:
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What job categories do people searching Manager Databricks Data Engineer jobs in Pennsylvania look for? The top searched job categories for Manager Databricks Data Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Manager Databricks Data Engineer jobs? Cities in Pennsylvania with the most Manager Databricks Data Engineer job openings:
Azure Databricks Data Architect

Azure Databricks Data Architect

NMK Global Inc.

Trappe, PA • On-site

$63 - $81/hr

Other

Posted 3 days ago

New


Job description

NMK Global Inc. is a global IT Services & Solutions company specializing in IT Staffing, Technology Consulting, Workforce Solutions, and Application Development Services. We help organizations build high-performing technology teams by connecting them with exceptional talent across a wide range of industries. Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers.

Job Title: Azure Databricks Data Architect
Location: Collegeville, PA

Job Description

We are looking for an experienced Azure Databricks Data Architect with strong expertise in designing enterprise-scale data platforms, modern data architectures, and cloud-based analytics solutions. The ideal candidate should have deep knowledge of Azure services, Databricks, data modeling, ETL/ELT frameworks, and modern data warehousing concepts.

The candidate should possess strong architectural skills, understand emerging digital technologies, and be capable of designing scalable, secure, and high-performing data solutions.

Responsibilities:

  • Design end-to-end enterprise data architecture and lifecycle management.
  • Develop conceptual, logical, and physical data models.
  • Design scalable ETL/ELT pipelines for enterprise data platforms.
  • Build modern batch and streaming data architectures.
  • Architect data solutions using Azure Databricks and Delta Lake.
  • Implement Databricks Workflows for orchestration and automation.
  • Develop solutions using Apache Spark, PySpark, SQL, and Python.
  • Design secure data access strategies using Unity Catalog.
  • Work closely with platform vendors and solution teams to deliver enterprise architecture.
  • Ensure compliance with Information Security and Data Governance standards.
  • Support IoT data collection platforms and enterprise digital transformation initiatives.
  • Collaborate with Agile and DevOps teams for CI/CD and deployment automation.
  • Design enterprise data warehouse solutions and optimize data performance.
  • Stay updated on emerging digital technologies and cloud platforms.

Required Skills:

  • Microsoft Azure
  • Azure Databricks
  • Delta Lake
  • Unity Catalog
  • Databricks Workflows
  • Databricks SQL
  • Apache Spark
  • PySpark
  • SQL
  • Python
  • Data Modeling
  • ETL / ELT Design
  • Batch Data Processing
  • Streaming Data Architectures
  • Data Warehousing
  • Information Security
  • Data Governance
  • Agile Methodology
  • DevOps
  • IoT Platforms

Preferred Skills:

  • Google Cloud Platform (Google Cloud Platform)
  • Amazon Web Services (AWS)
  • Digital Transformation Architecture
  • Manufacturing & Asset Management Solutions
  • Business Automation Platforms

Experience Required:

  • Strong experience in Azure Data Engineering and Data Architecture.
  • Hands-on expertise with Azure Databricks ecosystem.
  • Experience designing enterprise-scale data models.
  • Strong knowledge of ETL/ELT frameworks.
  • Experience with Delta Lake and Unity Catalog.
  • Expertise in batch and streaming architectures.
  • Experience implementing enterprise data warehouse solutions.
  • Familiarity with Agile and DevOps practices.
  • Knowledge of IoT data platforms is a plus.

NMK Global Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to age, race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.