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Databricks Lakehouse Jobs (NOW HIRING)

Purple Drive

AWS Databricks Engineer

Chicago, IL

Overview: • 12+ years of overall experience in data engineering, cloud architecture, or analytics platforms. • Strong expertise in AWS big-data stack and Databricks Lakehouse. • Hands-on ...

Mindlance

Databricks Architect

Washington, DC

$73.25 - $96.25/hr

Experience with Delta Lake, Unity Catalog, and Databricks Lakehouse architecture. * Exposure to API development, microservices, and modern application frameworks. "Mindlance is an Equal Opportunity ...

LTM

Azure Databrciks Architect

Raleigh, NC · On-site

$61.75 - $80.50/hr

Responsibilities : • Databricks Lakehouse architecture • Delta Lake • Dimensional data modelling • ETL data pipeline design • Databricks Architecture Lakehouse Design Databricks Lakehouse ...

New

1 point system

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

... Databricks Lakehouse Platform, including designing and implementing complex data solutions. * Proven track record of successfully designing and implementing large-scale, high performance, and cost ...

Opinov8

Azure Databricks Architect

$65 - $84.75/hr

The ideal candidate will possess deep expertise in Azure Databricks, Lakehouse architecture, cloud-native data solutions, and DevOps best practices. This role goes beyond data engineering and ...

Koantek

Databricks Platform Architect

Chandler, AZ · On-site

Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark . * Legacy Database Expertise: Strong background in relational databases, with ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark. Legacy Database Expertise: Strong background in relational databases, with ...

Tiger Analytics Inc.

Databricks Architect

$66.25 - $87/hr

Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg. * Strong MLOps & CI/CD Expertise * Proficient in Python/Scala (Spark) for data governance ...

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Databricks Lakehouse information

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How much do databricks lakehouse jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for databricks lakehouse in the United States is $67.68, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $92.31 per hour, depending on experience, location, and employer.

Does Databricks have unlimited PTO?

As a Databricks Lakehouse employee, the company's PTO policies vary by location and role, and unlimited PTO is not universally offered. Many companies in the tech industry provide flexible or unlimited PTO options, but it is best to review specific company policies or employment agreements for accurate details.

What are some common challenges Databricks Lakehouse professionals face when integrating data from multiple sources, and how can they be addressed?

A frequent challenge for Databricks Lakehouse professionals is handling data integration from diverse sources with varying formats, quality, and update frequencies. Addressing this requires designing robust ETL pipelines, leveraging Delta Lake for data reliability, and employing tools like Auto Loader for scalable ingestion. Collaboration with data engineering and analytics teams is also key to ensure consistent data models and governance. Staying updated with platform features and best practices can significantly streamline these integration efforts.

What are the key skills and qualifications needed to thrive as a Databricks Lakehouse Engineer, and why are they important?

To thrive as a Databricks Lakehouse Engineer, you need a solid background in data engineering, cloud computing (especially Azure or AWS), and proficiency with Spark, Python, or Scala. Experience with Databricks platform tools, Delta Lake, SQL, and certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving skills, collaboration, and effective communication set exceptional professionals apart in this role. These abilities are crucial for building scalable data solutions, ensuring data quality, and driving business insights in complex data environments.

What are lakeflow jobs in Databricks?

Lakeflow jobs in Databricks refer to automated data processing tasks that run on the Lakehouse platform, enabling data engineers and analysts to orchestrate data pipelines efficiently. These jobs typically involve scheduling, monitoring, and managing workflows using Databricks tools like Jobs API or Databricks Workflows, often requiring knowledge of Spark, SQL, and cloud environments.

Is Databricks a lakehouse or warehouse?

Databricks is a unified data platform that primarily implements a lakehouse architecture, combining the scalability of data lakes with the management features of data warehouses. It enables data engineers and analysts to perform large-scale data processing, analytics, and machine learning within a single environment. While it supports data warehousing functionalities, its core design is centered around the lakehouse model.

Are Databricks high in demand?

Databricks Lakehouse professionals are in high demand due to the growing need for data engineering, analytics, and machine learning skills in organizations adopting cloud-based data platforms. Expertise in Spark, SQL, and cloud environments like AWS or Azure enhances job prospects in this field.

What is a Databricks Lakehouse?

A Databricks Lakehouse is a unified data platform that combines the best features of data lakes and data warehouses. It allows organizations to store all their data—structured, semi-structured, and unstructured—in one place, while providing tools for data engineering, analytics, machine learning, and business intelligence. The Lakehouse architecture simplifies data management, reduces costs, and improves collaboration across teams by eliminating data silos. Databricks Lakehouse is built on open standards and supports a wide range of data processing workloads, making it an ideal solution for modern data-driven enterprises.
Infographic showing various Databricks Lakehouse job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $140,766 per year, or $67.7 per hour.

Azure Databricks Architect

Futran Tech Solutions Pvt. Ltd.

Jersey City, NJ • On-site

$66.25 - $86.25/hr

Full-time

Posted 26 days ago

Job description

Azure Databricks Architect
Must Have
12 years of experience of working on Azure and Databricks Lakehouse implementation with grasp of following
o Translate business requirement into technical solution for data curation and consumptions
o Have experience in building Databricks Lakehouse from a modelling and transformation ELT perspective
Experience in SQL programming Pyspark ADLS
2 or more years experience working as a Data Engineer Experience of developing in the Azure Modern Data Warehouse platform e g Azure Data Lake Azure Data Factory Azure Databricks Databricks Delta Lake etc
Good to Have
3 or more years experience in SQL
Experience handling structured and unstructured datasets
Good knowledge of DevOps tools and processes
Expertise on Databricks delta lake implementation Databricks architecture and configuration
Expertise in Azure Data Factory building pipelines and orchestration
Should have prior experience doing SQL server migration to cloud
Experience in effort estimation for the new projects
Proven ability to drive complex design and development efforts in an agile environment
Prior experience of migrating on premise SQL Server to Delta lake
Automating data pipelines through a CI CD delivery methodology
Expertise in Databricks Expert in ETL Pipelines
Typical azure services current future used ADX ADF Databricks
ADLS use in data ETL and storage
In depth hands on implementation knowledge on Azure Databricks Delta Lake Delta table Managing Delta Tables Databricks Cluster Configuration Cluster policies
Expertise in Azure Data factory Data Flow Azure Data Bricks and Data Lake Storage
Design and implement ETL components for multiple applications
Good Understanding of data modelling for data lake
Hands on experience in using secure file transfers tools like Kiteworks
Oracle PL SQL knowledge a plus
Soft Skills
As this is an onsite role must have strong written and oral communication skills
Insurance Domain Knowledge
Strong ability to work with client stakeholders
Requirement Review and Work Effort Estimation
Qualifying questions
1Do you have relevant hands on experience on Azure Data Services like Databricks Data Lake etc
2Do you hands on Unity Catalog work
3Any reporting tool such as Power BI used and or aware of Mosaic AI tools

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