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Databricks Data Analyst Jobs (NOW HIRING)

Databricks

Principal Data Scientist

Mountain View, CA · On-site

We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide - including over half of the ...

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Build robust data ingestion, transformation, and analytics workflows. * Develop intelligent APIs ... Strong expertise in Databricks, Apache Spark, and cloud-based data platforms. * Proficiency in ...

AgreeYa Solutions

Data Analyst/BI Engineer

Plano, TX · On-site

Data Analyst/BI Engineer Location: Plano, TX - Hybrid (3 days/week on-site) Preferred. Alternate ... Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development ...

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate ... Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development ...

New

Deloitte

Databricks Data Engineering Manager

Sacramento, CA · On-site

$122K - $146K/yr

... the Databricks Platform. In this leadership role, you will be responsible for managing teams ... Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities ...

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

... analytical warehouse models (fact and dimension schemas) leveraging Delta Lake. • Ensure data ... Databricks. • Act as the onsite lead for Azure Databricks data engineering initiatives. • ...

TiltEdge Solutions LLC

Data Analyst/BI Engineer

Plano, TX · On-site

$45 - $50/hr

Role: Data Analyst/BI Engineer Location: Plano, TX / Atlanta, GA - Hybrid (3 days/week on-site ... Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development ...

Deloitte

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

... the Databricks Platform. In this leadership role, you will be responsible for managing teams ... Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities ...

Deloitte

Databricks Data Engineering Manager

Rosslyn, VA

$130K - $156K/yr

... the Databricks Platform. In this leadership role, you will be responsible for managing teams ... Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities ...

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Showing results 21-40

All JobsDatabricks Data Analyst Jobs

Databricks Data Analyst information

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$34K

$82.6K

$136K

How much do databricks data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Does Databricks Data Analyst allow remote work?

Many organizations hiring Databricks Data Analysts offer remote work options, especially for roles involving data analysis, cloud platforms, and tools like SQL and Python. Remote work availability depends on the employer's policies and the specific job requirements, but it is increasingly common in data-related roles.

What is a Databricks Data Analyst?

A Databricks Data Analyst is a professional who uses the Databricks platform to analyze and interpret large datasets, often in cloud environments. They leverage tools like Apache Spark within Databricks to clean, transform, and visualize data, enabling organizations to make data-driven decisions. Their responsibilities typically include writing queries in SQL or Python, building dashboards, and collaborating with data engineers and business stakeholders. The role requires strong analytical skills and familiarity with cloud data platforms.

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

To thrive as a Databricks Data Analyst, you need strong analytical skills, proficiency in SQL and Python, and a background in data modeling or statistics, often supported by a relevant degree. Familiarity with Databricks, Apache Spark, data visualization tools like Power BI or Tableau, and cloud platforms such as AWS or Azure is typically required. Critical thinking, effective communication, and attention to detail are key soft skills for translating complex data into actionable insights. These skills and qualities are essential for leveraging Databricks' powerful platform to drive data-driven decisions and optimize business outcomes.

How does a Databricks Data Analyst typically collaborate with data engineers and data scientists on projects?

As a Databricks Data Analyst, you will frequently work alongside data engineers and data scientists to deliver data-driven insights and solutions. Data engineers are responsible for building and maintaining the data pipelines and infrastructure, while data scientists develop models and conduct advanced analytics. Your role involves analyzing curated datasets, creating dashboards, and providing actionable reports that help drive business decisions. Effective collaboration often involves regular meetings to clarify data requirements, sharing findings through notebooks, and ensuring data quality and accessibility for all team members.

What is the difference between Databricks Data Analyst vs Data Analyst?

AspectDatabricks Data AnalystData Analyst
Required CredentialsOften requires knowledge of Databricks platform, SQL, and data visualization toolsTypically requires SQL, Excel, and basic data analysis skills
Work EnvironmentWorks within cloud-based Databricks environment, often in data-driven teamsWorks with various tools, often in office or remote settings, across multiple industries
Employer & Industry UsageUsed mainly in tech, finance, and data-centric companies leveraging DatabricksUsed across diverse industries including marketing, healthcare, finance, and more

While both roles involve data analysis, a Databricks Data Analyst specializes in using the Databricks platform for large-scale data processing and analytics, whereas a Data Analyst may work with a broader range of tools and environments. The Databricks Data Analyst typically requires familiarity with cloud-based data platforms, making it more specialized for data engineering and big data projects.

What cities are hiring for Databricks Data Analyst jobs? Cities with the most Databricks Data Analyst job openings:
Infographic showing various Databricks Data Analyst job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 62% In-person, and 38% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Databricks Data Architect (AWS)

Lorven Technologies

Ridgefield Park, NJ • On-site

$69.50 - $91.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Senior Databricks Data Architect (AWS)
Location: Ridgefield Park, New Jersey 07660
12 Contract onsite position - This role requires 100% onsite presence Monday through Friday and will cover core business hours based on the EST timezone.
JOB DESCRIPTION
JOB TITLE: Senior Databricks Data Architect (AWS) - Hands-On Technical Lead
PURPOSE OF THE JOB:
  • Lead the strategic design and architectural roadmap of the Enterprise Data Platform on Databricks/AWS while remaining actively hands-on in design, prototyping, coding, and performance tuning.
  • To provide high-level technical consultancy and solution design to internal business stakeholders and external partners, acting as the bridge between complex business requirements and technical implementation.
  • To govern the technical quality of the platform by establishing design standards, conducting code reviews, and guiding the engineering team on best practices for Databricks Serverless and AWS integration.
  • As part of the role, you will be required to provide technical assurance for all major data initiatives, ensuring that solutions are robust, cost-effective, and compliant with enterprise security standards.

KEY ACCOUNTABILITIES:
  • Lead all architecture design and review sessions for strategic Databricks initiatives.
  • Actively contribute code to critical architectural components, building complex frameworks, reusable libraries, and core ETL/ELT pipelines using Python and PySpark.
  • Lead by example by prototyping Proof of Concepts (PoCs) for new features (e.g., Databricks Asset Bundles, Delta Live Tables) before handing them off for wider team implementation.
  • Perform hands-on performance tuning and debugging of high-latency jobs by deep-diving into Spark UI, execution plans, and spill logs.
  • Defining and enforcing coding standards, data modeling best practices (Medallion Architecture), and CI/CD protocols for the development team to follow.
  • conducting deep-dive technical reviews of designs and code produced by the engineering team to ensure efficiency, maintainability, and security.
  • Designing the strategy for Unity Catalog governance, ensuring granular data access controls and compliance with data privacy regulations.
  • Acting as the Technical Design Authority for the Databricks platform, making high-level decisions regarding the adoption of new Serverless features and AWS services.
  • Mentoring and coaching Senior and Junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Own the technical relationship with key business stakeholders and translate business strategy into robust data architecture
  • Engage and collaborate with Executive Stakeholders to present technical roadmaps and demonstrate the business value of data initiatives.
  • Actively seeks opportunities to develop knowledge in emerging technologies (e.g., Generative AI on Databricks, Vector Databases) and evaluate their impact on the business.
  • Provide guidance to the Change Management board regarding the risk and technical impact of proposed architectural changes.
  • Develop strategies to architect resilience, high availability, and disaster recovery into the data platform.
  • Develop clear communication channels with C-level executives and Product Managers to ensure technical strategies align with business goals.

KEY LIAISONS:
  • Head of Data & Analytics / CIO
  • Business Unit Directors & Product Managers
  • Lead Data Engineers and Data Scientists
  • Enterprise Security & Infrastructure Architects

DIMENSIONS:
  • Ownership of the Technical Roadmap and Architecture for the Data Estate
  • Maintain excellent relationships with all key liaisons
  • Responsible for architectural decisions impacting critical data assets
  • Primary Technical Advisor in the CST timezone

EDUCATION:
  • Educated to degree level in Computer Science, Engineering, or equivalent (Master's degree preferred)

SKILLS AND ATTRIBUTES:
Essential -
  • Exceptional "Customer Facing" skills: proven ability to lead workshops, manage stakeholder expectations, and present complex technical solutions to non-technical audiences.
  • Minimum 8-10 years' experience in Data Engineering/Architecture, with at least 4 years specialized in Databricks and AWS.
  • Expert-level knowledge of Data Lakehouse Architecture, Delta Lake internals, and Spark optimization strategies.
  • Proven experience in Data Modeling (Dimensional, Vault, Relational) and designing complex ETL/ELT pipelines.
  • Advanced hands-on coding proficiency in Python and SQL, with the ability to write clean, production-ready, and testable code.
  • Strong experience with Databricks Serverless architecture, Unity Catalog implementation, and security patterns.
  • Deep understanding of Cloud Architecture (AWS Well-Architected Framework), including networking, storage (S3), and IAM.
  • Experience in Design Review and Code Review processes, capable of constructive critique and enforcing standards.
  • Detailed knowledge of DevOps principles (IaC with Terraform, CI/CD pipelines).
  • Knowledge of the MS Office suite (Word, Excel, PowerPoint, Outlook) - specifically for creating architectural diagrams and presentations.
  • Very strong relationship building and influencing skills at a senior level.
  • Strategic thinking with the ability to balance immediate business needs with long-term architectural vision.

EXPERIENCE:
Essential -
  • 8+ years of experience in Data Architecture and Engineering.
  • Extensive experience designing solutions on the Databricks platform.

Advantage -
  • Strong experience working with large-scale enterprises or as a Consultant for big agencies.
  • Certified Databricks Data Architect or AWS Solutions Architect (Professional).
  • Excellent organizational and planning skills, with an ability to manage architectural backlogs.
  • A best-in-class technical leader proactively driving business innovation and process improvements.
  • Languages: Python, SQL, Scala.
  • Experience designing APIs for data consumption.
  • Experience with Enterprise Architecture frameworks (TOGAF).
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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