Service Architect (Data Architect)

Are you a Principal Engineer or Architect who excels at translating complex client goals into robust, production-ready lakehouse architectures? Excited to bridge the gap between deep technical execution (Spark, Python, DataOps) and executive-level consulting across multi-cloud environments? Our client is an innovative AI and data solutions consultancy and we are seeking a motivated Senior Data Architect. In this customer-facing role, you will lead the end-to-end design, implementation, and optimization of scalable data platforms built on Databricks and modern cloud ecosystems. As a technical authority, you will drive high-impact client engagements across data engineering, advanced analytics, and AI initiatives. This is a 100% fully remote role in Poland and it involves working with customers in US Eastern time zone. Translate client business objectives into scalable, secure, and cost-optimized data platform architectures powered by Databricks. Oversee complex implementations, including legacy data warehouse migrations, lakehouse deployments, and enterprise analytics solutions. Design, build, and productionize robust end-to-end data ingestion pipelines and transformation workflows using Databricks, Apache Spark, Python, SQL, and cloud-native services. Assist in scoping professional services engagements by delivering technical solution designs, architectural blueprints, and accurate effort estimations. Partner with the delivery teams, client engineers, and project managers to drive on-time, high-quality technical execution. To be a good fit for the Senior Data Architect you will have: 8+ years of hands-on experience in data engineering, data architecture, or big data platform development. Proficient in Python and SQL;

strong expertise in distributed computing and Apache Spark (Scala experience preferred). Proven track record building and deploying modern data platforms using Databricks (or comparable technologies) alongside at least one major cloud provider (AWS, Azure, or GCP). Familiarity with CI/CD automation, DevOps best practices for data operations (DataOps), and production-grade pipeline management. Exceptional consulting skills with demonstrated ability to lead technical workshops, communicate complex concepts to key stakeholders, and steer architectural decisions. Hands-on experience deploying machine learning platforms and production MLOps workflows. Demonstrated success migrating legacy ETL/data warehouse environments to modern cloud data platforms. Databricks Certified Professional Data Engineer). Previous experience in enterprise professional services, technical consulting, or client-facing solutions engineering. Open to B2B and permanent contract Deep-dive into modern Lakehouse architectures (Medallion model, Delta Lake, PySpark) with a team that specializes exclusively in high-performance cloud data and AI platforms. Beyond core ETL, your work directly powers enterprise AI, MLOps, and Generative AI initiatives offering a clear path to upskill in AI/ML engineering. Enjoy total location independence anywhere in Poland with flexible working hours designed around trust, outcomes, and work-life balance. Solve complex data engineering challenges for top-tier enterprise clients across finance, healthcare, and tech without the corporate red tape. Gain continuous hands-on experience with emerging Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows. Benefit from a straightforward, transparent B2B contract structure with stability, competitive compensation, and long-term project pipelines. Sounds interesting? Send us your CV by applying to this page