Senior Data and AI Platform Engineer

Jellyfish

Senior Data and AI Platform Engineer developing and maintaining Jellyfish's data and AI platform to drive innovation and analytics. Collaborating with researchers and business leaders to build reliable data pipelines.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $150,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining data platforms and pipelines, with a strong focus on Databricks technologies and data governance practices. Capable of collaborating with stakeholders to deliver high-quality data solutions that support analytics, data science, and business intelligence.

Highest-signal resume keywords

Data EngineeringDatabricks LakehouseSQLPython ProgrammingData Ingestion

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Platform EngineeringData Pipeline DesignData TransformationData Quality PracticesData ModelingAnalytics EngineeringOrchestrationMonitoringTestingGovernance

Soft Skills

Strong CommunicationCollaborationCross-Functional Teamwork

Tools & Technologies

DatabricksUnity CatalogData Warehousing TechnologiesAnalytics Tools

Industry Keywords

Business IntelligenceData ScienceAIAgentic Analytics

Tech Stack

Tools & technologies

PythonSQLUnity

About the role

Key responsibilities & impact

Design, build, and maintain data platforms and pipelines supporting analytics, data science, BI, and AI.
Lead the evolution of Jellyfish’s Databricks Lakehouse platform.
Enable enterprise-wide agentic analytics within Databricks with trusted datasets.
Help mature core Databricks platform capabilities including Unity Catalog and platform observability.
Build and maintain ingestion pipelines for high-value data.
Partner on data flows sending trusted data to other internal systems.
Collaborate with stakeholders to understand analytical needs and design platform solutions.
Create standards and reusable patterns for data modeling, documentation, testing, and governance.
Develop tools and processes to monitor data platform health, pipeline reliability, cost, performance, and usage.
Provide technical leadership as a senior individual contributor.

Requirements

What you’ll need

Deep experience in data engineering, data platform engineering, analytics engineering, or related roles.
Designed, built, and operated reliable data platforms or large-scale data pipelines in production.
Strong experience with Databricks or similar lakehouse/data platform technologies.
Understand how to build governed, well-modeled data assets supporting BI, analytics, data science, and AI.
Experience with data ingestion, transformation, orchestration, testing, monitoring, and data quality practices.
Advanced SQL skills and experience working with multiple database and warehouse technologies.
Strong programming experience, particularly in Python or similar languages.
Comfortable working with technical and non-technical stakeholders.
Strong communication skills and enjoy working part of a cross-functional team.

Benefits

Comp & perks

Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score