Senior Data Architect

Sowelo Consulting sp. z o.o.; Poland; On-site; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Open to B2B contracts

Location independent (Poland)

Flexible working hours

Job summary

Sowelo Consulting sp. z o.o. is seeking a Senior Data Architect to lead the end-to-end design, implementation, and optimization of scalable data platforms built on Databricks and modern cloud ecosystems.

In this client-facing role, you will partner with client stakeholders, enterprise partners, and internal teams to migrate legacy systems and deploy production-grade lakehouse architectures. We welcome a senior professional with deep data engineering and architectural experience, capable of

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.

Responsibilities

• 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.

Skills

Python

SQL

Apache Spark

Databricks

CI/CD

DataOps

Cloud platforms

Stakeholder communication

Tools

AWS

Azure

GCP

Job 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?

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 in Poland 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 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.