Senior Platform Engineer - Databricks Champion

Kolomolo; Białystok; On-site; PLN 125,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and benefits

Career development opportunities

Continuous learning culture

Flexible work environment

Office perks like snacks and coffee

Job summary

Kolomolo in Kraków, Poland is seeking a Senior Platform Engineer to evolve and scale our Databricks-based data platform. This role involves engineering, architecture, and collaboration with domain teams for effective platform adoption.

We are looking for candidates with deep hands-on experience in data technologies, particularly with Databricks and AWS services. The position offers a flexible work environment and numerous opportunities for career growth.

Qualifications

• Experience working in agile/scrum delivery teams.
• Deep hands‑on experience with Apache Spark (Python and SQL), Databricks Jobs, Workflows, Notebooks, and Declarative Asset Bundles.
• Strong hands‑on experience with AWS services (e.g., S3, Glue, Lambda, IAM, EKS, Redshift).
• Proficiency in Terraform, Infrastructure as Code (IaC), CI/CD.
• Experience of working with multi‑account cloud infrastructure.

Responsibilities

• Act as the go‑to Databricks expert for spoke teams across the organisation.
• Support teams through onboarding, architecture reviews, and hands-on technical coaching.
• Embed observability, validation, and data quality directly into the framework.
• Design and implement Unity Catalog access control models.
• Stay ahead of the Databricks roadmap and evaluate new capabilities for the platform.

Skills

Databricks

Apache Spark

Python

CI/CD

Education

Bachelor's or master's degree in computer science, information systems, engineering, or equivalent

Tools

AWS

Terraform

Kubernetes

Job description

Senior Platform Engineer

Location: Kraków, Poland

Contract: B2B, Full-Time

About the Role

As a Senior Platform Engineer, you will play a key role in evolving and scaling our Databricks-based data platform while enabling adoption across multiple domain teams. This role combines hands‑on engineering, platform architecture, and close collaboration with spoke teams to ensure the platform remains scalable, reusable, and easy to adopt.

You will work closely with data engineering and cross‑functional teams to strengthen platform capabilities, improve developer experience, and build reusable standards that support long‑term growth of our data ecosystem.

What You’ll Be Doing

• Act as the go‑to Databricks expert for spoke teams across the organisation.
• Support teams through onboarding, architecture reviews, and hands‑on technical coaching.
• Create workshops, reference implementations, and reusable patterns that accelerate adoption.
• Improve developer experience by reducing platform friction and simplifying workflows.
• Proactively identify and remove blockers impacting adoption.
• Own and evolve the ODP ingestion framework for multi‑source batch and near‑real‑time ingestion.
• Increase robustness, extensibility, and reusability across spoke‑specific connectors.
• Embed observability, validation, and data quality directly into the framework.
• Ensure platform patterns scale reliably as new data sources and teams onboard.
• Evolve the ODP data product framework to support self‑service product creation.
• Build reusable templates and accelerators to enable faster delivery.
• Strengthen data‑sharing capabilities for internal marketplace and external partner use cases.
• Promote standardisation and consistency across teams.
• Design and implement Unity Catalog access control models.
• Ensure governance remains scalable, auditable, and aligned with enterprise security requirements.
• Support secure data sharing and permissions management across domains.
• Stay ahead of the Databricks roadmap and evaluate new capabilities for the platform.
• Assess and pilot features such as Databricks AI/BI (including Genie and Dashboards), Lakeflow and declarative pipelines, Serverless compute policies.
• Translate findings into practical enablement plans.
• Drive adoption of validated capabilities across the platform.

Core technologies include:

• Databricks
• Apache Spark
• Python
• Databricks Workflows
• CI/CD using Declarative Asset Bundles

What We Are Looking For

• Bachelor's or master's degree in computer science, information systems, engineering, or equivalent.
• Experience working in agile/scrum delivery teams.
• Deep hands‑on experience with Apache Spark (Python and SQL), Databricks Jobs, Workflows, Notebooks, and Declarative Asset Bundles, Observability, Lakeflow, and Autoloader, Unity Catalog governance, access control, and data sharing.
• Strong hands‑on experience with AWS services (e.g., S3, Glue, Lambda, IAM, EKS, Redshift), with the last 5 years working with AWS Cloud Infrastructure.
• Experience of working with multi‑account cloud infrastructure.
• Proficiency in Terraform, Infrastructure as Code (IaC), CIRCI/CD.
• Familiarity with Kubernetes setup and operations.
• Proven experience building reusable frameworks for data ingestion, data transformation, data product delivery.
• Programming skills in Python.
• Strong communication and collaboration skills.

What is in It for You

• Competitive salary and benefits.
• Career development opportunities in a growing tech company.
• Continuous learning culture: mentorship, internal training, and certifications.
• Flexible, agile work environment (remote, hybrid, or on‑site in Kraków).
• Office perks: great coffee, tea, fresh fruit, snacks, and a fun atmosphere.
• Flat management structure, where your voice matters.
• Regular team events and a social, supportive work culture.
• Independent Contractor.