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Remote Databricks Jobs in Indianapolis, IN (NOW HIRING)

You bring deep experience designing and evaluating solutions across leading cloud data platformssuch as Databricks and Snowflakeand provide clarity for complex challenges including migrations ...

AWS Devops Cloud Engineer (Remote)

Indianapolis, IN · Remote

$54 - $74/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS, Redshift, and data lake environments. * Monitor platform health, performance, security, and operational ...

Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What are the most commonly searched types of Databricks jobs in Indianapolis, IN?

The most popular types of Databricks jobs in Indianapolis, IN are:

What are popular job titles related to Remote Databricks jobs in Indianapolis, IN?

For Remote Databricks jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Remote Databricks jobs in Indianapolis, IN look for?

The top searched job categories for Remote Databricks jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Remote Databricks jobs?

Cities near Indianapolis, IN with the most Remote Databricks job openings:

Data Practice Lead (Remote)

Marlabs

Indianapolis, IN • Remote

Full-time

Re-posted 23 days ago


Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.

Data Practice Lead | About You

As a Data Practice Lead, you are a strategic and handson expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in clientfacing roles, partnering with executives such as CTOs and CDOs to guide enterprisescale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platformssuch as Databricks and Snowflakeand provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting presales engagements by assessing client needs, comparing platforms, and building ROIdriven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.

Data Practice Lead | Day-to-Day

  • Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging bestpractice patterns and reference architectures.
  • Lead presales and business development efforts by assessing currentstate environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
  • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprisescale architecture decisions.
  • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
  • Collaborate with crossfunctional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
  • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct peoplemanagement responsibilities.
  • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

Data Practice Lead | Skills & Experience

  • 10+ years of experience in data engineering, data architecture, solution architecture, or related roles.
  • Strong handson experience with modern cloud data platforms, including Databricks and/or Snowflake.
  • Proven ability to support presales activities, including discovery sessions, technical evaluations, demos, and proposal development.
  • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
  • Experience leading or supporting platform migrations from onprem or legacy systems to modern cloud data platforms.
  • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
  • Strong clientfacing communication skills with the ability to translate complex technical concepts into clear business outcomes.