Senior Databricks Engineer - Grow at Top Databricks Partner

V4C.ai; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Life Insurance (Basic, Voluntary & AD\

Job summary

V4C.ai, a top Databricks partner, is seeking a Senior Databricks Engineer to build production pipelines on the Databricks Lakehouse, working directly with enterprise customers and Databricks field teams. The role emphasizes a structured certification roadmap and in-house training to accelerate growth.

Ideal candidates have 8+ years in data engineering or analytics platforms, strong Python/SQL, and experience migrating complex ETL estates to the cloud.

Qualifications

• Eight+ years in data engineering, architecture, or analytics platform development.
• Demonstrated ownership of end-to-end architectures for enterprise data platforms.
• Experience migrating legacy data warehouses/ETL estates to modern cloud platforms.

Responsibilities

• Build and maintain batch and streaming ETL pipelines using PySpark, SQL, and Delta Lake on Databricks.
• Deploy and manage data resources on AWS, Azure, or GCP.
• Write and automate data validation and quality checks.
• Tune Spark jobs and SQL queries for performance and cost.
• Structure and clean enterprise datasets for analytics and AI workloads.
• Troubleshoot pipeline failures and data quality issues, including in production.

Skills

Databricks

Python

SQL

Spark

CI/CD

Data modeling

MLOps

Cloud

Tools

Databricks

AWS

Azure

GCP

Job description

Senior Databricks Engineer - Grow at Top Databricks Partner — Remote

Career Trajectory: V4C explicitly positions this Databricks Engineer role as an entry point into their organization, with a structured certification roadmap designed to move engineers upward. For mid-to-senior data engineers (8+ years required), this is a clear path toward Principal Engineer or Architect titles within a fast-growing consultancy.

Market Positioning: Being named Databricks' 2026 Partner of the Year (C&SI Emerging) in under two years signals strong company momentum. Working at a pure-play Databricks partner means deep, specialized expertise — which is highly marketable. Databricks skills are among the most in-demand in the data engineering space right now, commanding premium salaries.

Skills You'll Build:

• Production-grade Databricks (Unity Catalog, Delta Lake, Lakeflow, Asset Bundles)
• Client-facing consulting and stakeholder communication
• MLOps and AI workload engineering — a rapidly growing discipline

Green Flags: Dedicated Employee Success Manager, in-house Databricks-certified trainers, and direct collaboration with Databricks' own field teams are strong signals of investment in employee development. The 850+ certifications across 325+ customers shows this isn't a startup still figuring things out.

Watch For: No salary range is disclosed — push for transparency in interviews. Consulting roles can involve demanding client timelines. The 8+ year requirement for what's described as a junior-entry role suggests expectations may run high relative to the starting position.

About V4C

V4C is a pure-play Databricks partner. In under two years, we have earned 850+ Databricks certifications across 325+ customers and been named Databricks' 2026 Partner of the Year (C&SI Emerging).

As a Databricks Engineer, you will build and optimize production pipelines on the Databricks Lakehouse, working directly with customers and often Databricks' own field teams. Every technical hire receives a certification roadmap built for them and taught in-house by Databricks-approved trainers, plus a dedicated Employee Success Manager whose only responsibility is your experience at V4C.

Position

Databricks Engineers build the pipelines enterprise customers run their business on. You will work under a senior engineer or architect, taking a defined piece of an engagement and owning it end to end: ingesting from systems that were not designed to be ingested from, transforming data through Medallion layers, and getting it to a state analysts and ML workloads can actually use.

You will be client-facing — standups, working sessions, and occasionally explaining to a stakeholder why something is harder than it looked. This is where most of our engineers start, and the certification roadmap is built around moving you up from it.

Responsibilities

• Build and maintain batch and streaming ETL pipelines using PySpark, SQL, and Delta Lake on Databricks
• Deploy and manage data resources on AWS, Azure, or GCP
• Write and automate data validation and quality checks
• Tune Spark jobs and SQL queries for performance and cost
• Structure and clean enterprise datasets for downstream analytics and AI workloads
• Troubleshoot pipeline failures and data quality issues, including in production

Requirements

• 8+ years in data engineering/architecture or analytics platform development
• Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production
• Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent)
• Strong proficiency in Python and SQL; working knowledge of Apache Spark and distributed processing fundamentals
• Experience with data modeling across dimensional, normalized, and Lakehouse patterns, and the judgment to know when each applies
• Experience with CI/CD and DevOps practices for data platform deployment

Preferences

• Healthcare or life sciences experience preferred but not required
• Databricks Certified Data Engineer Professional or Platform Architect certification
• Hands-on Databricks experience at scale: Unity Catalog, Delta Lake, Lakeflow, Asset Bundles
• Experience with MLOps or productionizing machine learning workloads
• Prior professional services, consulting, or customer-facing architecture background
• Experience contributing to pre-sales scoping or technical proposals
• Unlimited PTO
• Life Insurance (Basic, Voluntary & AD&D)

Is this Databricks Engineer role fully remote? Yes, V4C lists this position as Remote/WFH. However, the role is restricted to candidates in the United States, and client-facing responsibilities such as standups and working sessions imply availability during US business hours. What is the certification support like at V4C? Every technical hire at V4C receives a personalized Databricks certification roadmap taught in-house by Databricks-approved trainers. The company has earned 850+ certifications across its team, reflecting a strong internal culture of learning. Is prior Databricks experience required, or will V4C train me? While hands‑on Databricks experience (Unity Catalog, Delta Lake, Lakeflow) is listed as a preference, the role requires 8+ years of broader data engineering experience. V4C provides structured in-house Databricks certification training for new hires. Does this role involve direct client interaction? Yes, this is a client-facing position. Engineers participate in standups and working sessions with enterprise customers, and occasionally explain technical complexity to non-technical stakeholders. Is healthcare industry experience required for this position? No, healthcare or life sciences experience is listed as a preference, not a requirement. Candidates from other industries with strong data engineering backgrounds are welcome to apply.

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