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 Spain 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.

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.
- 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).

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 adaptable 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.

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📌 Senior Azure Data Architect - Remote Work (España)
🏢 Sowelo Consulting sp. z o.o.
📍 España