Senior Data Architect

This is a fully remote position, open to applicants in Poland.

📋 Description

• Convert client business goals into scalable, secure, and cost-effective data platform architectures utilizing Databricks.

• Manage the migration of legacy data warehouses, the deployment of lakehouses, and the development of enterprise analytics solutions.

• Design, construct, and implement comprehensive data ingestion pipelines and transformation workflows.

• Support the definition of professional services engagements by creating technical solution designs, architectural blueprints, and effort estimates.

• Collaborate with delivery teams, client engineers, and project managers to ensure high-quality technical execution.

• Resolve intricate implementation challenges.

• Produce architectural documentation and establish best practices that promote long-term client self-sufficiency.

• Lead client engagements in data engineering, advanced analytics, and AI projects.

• Work together with client stakeholders, enterprise partners, and internal engineering teams to transition legacy systems and implement production-grade lakehouse architectures.

⛳️ Requirements

• Over 8 years of practical experience in data engineering, data architecture, or big data platform development.

• Proficient in Python and SQL.

• Strong knowledge of distributed computing and Apache Spark.

• Scala experience is preferred.

• Proven track record of building and deploying modern data platforms using Databricks or similar technologies.

• Experience with at least one major cloud provider: AWS, Azure, or GCP.

• Familiarity with CI/CD automation.

• Understanding of DevOps best practices for data operations (DataOps).

• Experience with managing production-grade pipelines.

• Exceptional consulting abilities.

• Proven capability to lead technical workshops, articulate complex concepts to key stakeholders, and guide architectural decisions.

• Preferred hands-on experience in deploying machine learning platforms and production MLOps workflows.

• Demonstrated success in migrating legacy ETL/data warehouse environments to modern cloud data platforms is preferred.

• Active Databricks certifications are preferred.

• Prior experience in enterprise professional services, technical consulting, or client-facing solutions engineering is preferred.

🏝️ Benefits

• In-depth exploration of modern Lakehouse architectures (Medallion model, Delta Lake, PySpark).

• Clear opportunities for skill enhancement in AI/ML engineering.

• Complete location independence anywhere in Poland.

• Flexible working hours focused on trust, results, and work-life balance.

• Ongoing hands-on experience with the latest Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows.

• Simple, transparent B2B contract structure offering stability, competitive compensation, and long-term project pipelines.