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Data Platform Engineer Databricks

Lorven Technologies Inc
New York, NY, United States
3 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Airflow Continuous Integration Data Governance Data Systems Python (Programming Language) Power BI Standard Sql Integration Frameworks Api Design Terraform Databricks

Job description

  • Design, build, and enhance platform capabilities within Databricks and related technologies.
  • Build reusable data products and self-service capabilities.
  • Design and maintain data pipelines and integration frameworks.
  • Improve data quality, reliability, lineage, and monitoring.
  • Accelerate research-to-production delivery: prototype solutions alongside researchers; establish patterns that make productionization easier and faster; reduce friction between research and engineering workflows.

Requirements

Must have

  • 8+ years of platform and data solutions experience

  • Hands-on Databricks experience (workspace, notebooks, jobs) and building platform capabilities

  • Python
  • SQL
  • Modern CI/CD, IaC (Terraform strongly preferred)
  • Data Governance and observability (Unity Catalog, lineage, monitoring)
  • Orchestration (Airflow)
  • AI fluency: use of AI agents (Claude Code preferred) as a primary tool to design, build, test, and support solutions

Nice to have

  • Financial domain experience, especially quant research
  • API development
  • PowerBI

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:32 min

Overview of Terraform and Terraform Cloud features

Devlin Duldulao · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Infrastructure as Code: The Developer's Secret Weapon thumbnail
45:04
LIVE • almost 2 years ago

Infrastructure as Code: The Developer's Secret Weapon

Hennie Francis

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

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