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?
So please, take a few minutes and read about your potential new job.
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 and it involves working with customers in US Eastern time zone.
Your tasks will include:
- 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.
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.
Preferred Qualifications:
- 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.
Reasons to join:
- 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 Spain 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
Skills Required
- 8+ years of hands-on experience in data engineering, data architecture, or big data platform development
- Proficiency in Python and SQL
- Strong expertise in distributed computing and Apache Spark
- Experience building and deploying modern data platforms using Databricks or comparable technologies
- Experience with at least one major cloud provider: AWS, Azure, or GCP
- Familiarity with CI/CD automation and DevOps best practices for data operations
- Production-grade pipeline management experience
- Exceptional consulting and client-facing communication skills
- Ability to lead technical workshops and steer architectural decisions
- Scala experience
- Experience deploying machine learning platforms and production MLOps workflows
- Experience migrating legacy ETL or data warehouse environments to modern cloud data platforms
- Active Databricks certification
- Experience in enterprise professional services, technical consulting, or client-facing solutions engineering
What We Do
Sowelo Consulting is a recruitment agency based in Poland that specializes in providing tailored recruitment solutions. They offer services such as executive search, recruitment process outsourcing, and IT contracting, focusing on companies hiring between 10 to 200 employees annually.
