[Hiring] Senior Data Architect @Sowelo Consulting

Role Description

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. You will partner directly with client stakeholders, enterprise partners, and internal engineering teams to migrate legacy systems, deploy production-grade lakehouse architectures, and ensure seamless technology adoption.

This is a 100% fully remote role with Poland and it is available on a B2B contract only.

• 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.
• Troubleshoot complex implementation challenges, author architectural documentation, and establish best practices to support long-term client self-sufficiency.

Qualifications

• 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.

Requirements

• Hands-on experience deploying machine learning platforms and production MLOps workflows.
• Demonstrated success migrating legacy ETL/data warehouse environments to modern cloud data platforms.
• Active Databricks certifications (e.g., Databricks Certified Professional Data Engineer).
• Previous experience in enterprise professional services, technical consulting, or client-facing solutions engineering.

Benefits

• 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.