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Databricks Architect Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$130 - $160/hr

Key Responsibilities Data Architecture: Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems. IoT & Stream Ingestion: Build scalable pipelines ...

Data Architect

Racine, WI ยท On-site

$67/hr

Requirement/Must Have: * 10+ years of experience in Data Architecture. * 5+ years of experience in Databricks Architecture. * 4+ years of experience in BI platforms. Responsibilities: * Define and ...

The engineer partners with product, architecture, governance, and mission teams to deliver secure ... Databricks Certified Apache Spark Developer Associate ? Databricks Certified Data Engineer ...

WI ยท On-site

$61.50 - $82.50/hr

... Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate brings deep AWS and Databricks expertise, hands-on data platform design ...

WI ยท On-site

$180 - $248/hr

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world ... As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You ...

WI ยท On-site

$180 - $248/hr

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world ... As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You ...

WI ยท On-site

$180 - $248/hr

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world ... As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You ...

WI ยท On-site

$180 - $247.50/hr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

WI ยท On-site

$180 - $247.50/hr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

WI ยท On-site

$180 - $247.50/hr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

WI ยท On-site

$180 - $247.50/hr

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world ... As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You ...

WI ยท On-site

$197.10 - $270.98/hr

As a Delivery Solutions Architect (DSA) Manager supporting our Emerging Enterprise (EE) segment ... Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the ...

WI ยท On-site

$180 - $240/hr

The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing ... Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future ...

WI ยท On-site

$180 - $247.50/hr

Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the ... You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical ...

Data Architect

Milwaukee, WI

$62.75 - $80.75/hr

Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling * Define and ...

Data Architect

Milwaukee, WI ยท On-site

$62.75 - $80.75/hr

Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling * Define and ...

WI ยท On-site

The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing ... Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future ...

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Showing results 1-20

Databricks Architect information

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 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 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 most commonly searched types of Databricks Architect jobs in Wisconsin?

The most popular types of Databricks Architect jobs in Wisconsin are:

What are popular job titles related to Databricks Architect jobs in Wisconsin?

For Databricks Architect jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Databricks Architect jobs in Wisconsin look for?

The top searched job categories for Databricks Architect jobs in Wisconsin are:

What cities in Wisconsin are hiring for Databricks Architect jobs?

Cities in Wisconsin with the most Databricks Architect job openings:

Infographic showing various Databricks Architect job openings in Wisconsin as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Principal Architect - Databricks

Tiger Analytics

WI โ€ข On-site

$130 - $160/hr

Other

Posted 8 days ago


Job description

Job Summary

We are seeking a highly skilled Principal Data Architect to design and implement our next-generation data ecosystem. You will lead the technical strategy for end-to-end data management, data warehousing, and IoT ingestion pipelines. The ideal candidate brings mastery in cloud data platforms (Azure or AWS) and advanced data governance.

Key Responsibilities

Data Architecture: Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems.

IoT & Stream Ingestion: Build scalable pipelines using Azure Hub, Device SDK, DPS, and Stream Analytics.

Data Management: Implement information lifecycle management (ILM) from data ingestion to archiving.

Data Strategy: Define, build, and enforce global data governance and master data management practices.

Dataset Creation: Extract and manipulate unstructured data into connected datasets for advanced analytics.

Required Skills
  • Core Cloud Data Platform (Must Have)
    • Databricks: Strong proficiency in building optimized spark pipelines, delta lakes, and lakehouses.
  • Cloud Ecosystem (Option A: Azure Suite)
    • IoT Infrastructure: Azure Hub, Device SDK, Device Provisioning Services (DPS), and Device Twins.
    • Compute & Storage: Azure Functions, Cosmos DB, and Azure Stream Analytics.
  • Cloud Ecosystem (Option B: AWS Alternative)
    • IoT Infrastructure: AWS IoT Core, IoT Device Management, and IoT Device Defender.
    • Compute & Storage: AWS Lambda, DynamoDB, Amazon Kinesis, and EMR.
  • Data Engineering & Governance
    • BI & EDW: Deep expertise in enterprise data warehousing and business intelligence tools.
    • Data Modeling: Proven ability to manage both structured and unstructured data assets.
  • Qualifications & Soft Skills
    • Communication: Ability to translate complex technical concepts clearly to diverse technical teams.
    • Collaboration: Demonstrated teamwork skills with a proven track record in crossโ€‘functional environments.
    • Experience: Extensive background in end-to-end data management principles and data lifecycle execution.

Good to have-Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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