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Aws Databricks Terraform Jobs (NOW HIRING)

Sunrise Systems, Inc.

Databricks Architect/Admin

Hartford, CT · Hybrid

$65.25 - $85.75/hr

Experience with AWS/Azure/Google Cloud Platform cloud platforms * Knowledge of MLflow, AutoML, AI ... Terraform/Ansible and enterprise orchestration tools * Insurance or financial domain experience.

Prophecy Technologies

Databricks Developer (Java)

Boston, MA · On-site

$55.50 - $71.75/hr

... AWS or Azure). * Experience with CI/CD pipelines (GitHub Actions, Azure DevOps), Terraform, and ... Databricks Certified Professional Data Engineer (preferred) * Experience with large-scale ...

TetraScience

Cloud Platform Architect, Tech Lead

Boston, MA · On-site

$70.50 - $90/hr

You will evolve our cloud architecture, build substantial parts of it in Python, CloudFormation and Terraform. You will architect and build deployment pipelines to AWS and Databricks, and drive the ...

The LaSalle Group

Databricks Developer

Franklin Park, IL · On-site

$140K - $160K/yr

... AWS, Azure, and GCP. The position supports data integration, analytics, and visualization ... Terraform, Databricks Asset Bundles, GitHub Actions) * Monitor, troubleshoot, and resolve ...

TetraScience

Cloud Platform Architect, Tech Lead

Boston, MA · On-site

$70.50 - $90/hr

You will evolve our cloud architecture, build substantial parts of it in Python, CloudFormation and Terraform. You will architect and build deployment pipelines to AWS and Databricks, and drive the ...

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How much do aws databricks terraform jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for aws databricks terraform in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS Databricks Terraform Engineer, and why are they important?

To thrive as an AWS Databricks Terraform Engineer, you need expertise in cloud infrastructure (especially AWS), Databricks platform management, and Infrastructure as Code (IaC) principles, often backed by a degree in computer science or related certifications. Proficiency with Terraform for IaC, Databricks APIs, AWS services like EC2, S3, IAM, and CI/CD tools is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project needs. These skills ensure efficient, reliable, and scalable cloud data solutions that support business objectives.

What are AWS Databricks Terraform jobs?

AWS Databricks Terraform jobs involve using Terraform, an Infrastructure as Code (IaC) tool, to automate the deployment and management of Databricks workspaces and resources on Amazon Web Services (AWS). Professionals in this role write and maintain Terraform scripts that define infrastructure components, manage configurations, and ensure scalable, repeatable deployments of Databricks environments in the AWS cloud. This helps organizations streamline analytics workflows, improve efficiency, and reduce manual errors when provisioning big data and machine learning platforms.

How do AWS Databricks Terraform engineers typically collaborate with data scientists and DevOps teams?

AWS Databricks Terraform engineers play a crucial role in bridging infrastructure and analytics teams. They often work closely with data scientists to provision scalable Databricks clusters and ensure seamless data pipeline deployments. Collaboration with DevOps teams is common for automating infrastructure management using Terraform, enforcing best practices for code versioning, and maintaining secure, repeatable environments. Regular cross-team communication helps ensure that infrastructure meets both performance and security requirements while supporting evolving data workflows.

What is the difference between Aws Databricks Terraform vs Data Engineer?

AspectAws Databricks TerraformData Engineer
Primary FocusInfrastructure as code for deploying Databricks on AWSBuilding and maintaining data pipelines and databases
Skills & CertificationsTerraform, AWS, Databricks, cloud architectureSQL, Python, ETL tools, cloud platforms
Work EnvironmentCloud infrastructure management, DevOps practicesData processing, analytics, database management
Industry UsageData platform deployment, cloud infrastructure automationData analysis, reporting, data pipeline development

While Aws Databricks Terraform focuses on automating the deployment and management of Databricks environments on AWS using Terraform, Data Engineers primarily develop data pipelines, manage databases, and ensure data flow efficiency. Both roles often collaborate but serve different core functions within data infrastructure projects.

Infographic showing various Aws Databricks Terraform job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.
Lead Software Engineer - Platform Engineering Databricks

Lead Software Engineer - Platform Engineering Databricks

JPMorgan Chase & Co

Jersey City, NJ

Full-time

Medical, Retirement

Posted 17 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Lead Software Engineer at JPMorganChase within the Chief Data Analytics Office - AIML Data Platforms Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems 

  • Solves the companies' most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools. 

  • Designs, implements, and maintains a managed Apache Spark on Kubernetes, AWS Databricks platform, and provides engineering and operational support for the platform to SRE and app teams. 

  • Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams. 

  • Develops secure high-quality production code, and reviews and debugs code written by others 

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems 

  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture 

  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies 

  • Adds to team culture of opportunity, inclusion, and respect  

Required qualifications, capabilities, and skills  

  • Formal training or certification on software engineering concepts and 5+ years applied experience 

  • Hands-on experience with Python and/or Java application program development with use of automated unit testing

  • Hands-on experience in Big Data Compute Engines Apache Spark - Core, SQL (Catalyst Framework), Databricks platform, Kubernetes platform

  • Experience in designing, developing, or maintaining production-grade cloud solutions in Cloud ecosystems such as Amazon Web Services (VPC, EKS, EFS)

  • Hands-on practical experience delivering system design, application development, testing, and operational stability. Ability to tackle design and functionality problems independently with little to no oversight

  • Hands-on experience with GitHub / Bitbucket SCM, Jenkins, CI/CD tool, Docker, building container image, Terraform and pypi / maven artifactory integrations 

Preferred qualifications, capabilities, and skills 

  • Exposure to AWS & Databricks Platform administration
  • Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA.
  • Experience in Data pipelines using Spark
  • Experience in managing product release lifecycle at enterprise level.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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