Data Platform Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 124d ago
The date the source published, not the day we noticed it (2026-06-02). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Location : Remote (USA) or hybrid ( Santa Cruz County, CA ) Compensatio…
Pay
$125k–155k/yr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
bamboohr employer's own board first seen 12h ago · last seen just now
The listing
Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.
At QuickLaunch Analytics, we help organizations simplify the complex world of data. As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.
This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting. You’ll work across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.
What You’ll Do
- Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
- Build scalable data pipelines and Lakehouse solutions using Python, SQL, and orchestration across Databricks and Microsoft Fabric
- Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
- Develop and manage ETL/ELT integrations across third-party tools and custom APIs, ensuring reliable, production-grade data workflows
- Implement secure, high-performance data architectures, including Unity Catalog, OneLake security, networking (VPNs, private endpoints), and cost optimization
- Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric
Who You Are
- Strong hands-on experience with Databricks and/or Fabric, Spark, Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
- Solid foundation in database concepts and data modeling, with experience working across structured and semi-structured datasets
- Experience with ETL/ELT tools and data integration, including tools like Fivetran and building/customizing API-based data pipelines
- Comfortable working in customer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
- Working knowledge of identity and access management concepts (e.g., Entra ID users, groups, and permissions)
- Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
- Ability to communicate effectively with both technical and non-technical customers and team members
Nice to Have
- Experience using AI and automation tools to streamline workflows, including exposure to AI agents or intelligent automation frameworks
- Experience configuring private endpoints in Azure, including networking setup and DNS configuration
- Understanding of Power BI and Fabric licensing and how licensing might impact deployment approach
- Familiarity with Linux environments and cloud-based data ecosystems
Working Location: Remote (USA) or hybrid (Santa Cruz County, CA)
Compensation: The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.
About Us:
At QuickLaunch Analytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years, we’ve helped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.
We’re a team of 35+ professionals with deep expertise in Power BI, Databricks, and Azure Cloud. Our culture is built on ownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.
If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact, we’d love to hear from you.