Senior Data Architect

🔥 12 hours ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sowelo Consulting sp. z o.o. sp. k.

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Sowelo Consulting sp. z o. o. sp. k. is a recruitment consulting firm based in Krakow, Poland, established in 2007. It specializes in providing tailored recruitment solutions including Recruitment Process Outsourcing (RPO), Executive Search, and IT Contracting across various sectors such as IT/Telco, Renewable Energy, and Finance. The company offers services like Talent Market Mapping, Recruitment Process Assessment, and Employer Branding to enhance recruitment efficiency and attract potential employees, clients, and investors. With a large database and a focus on strategic recruitment consulting, Sowelo Consulting helps businesses find skilled professionals to enhance their workforce.

📋 Description

• Translate client business objectives into scalable, secure, and cost-optimized data platform architectures powered by Databricks • Oversee legacy data warehouse migrations, lakehouse deployments, and enterprise analytics solutions • Design, build, and productionize 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 through technical solution designs, architectural blueprints, and effort estimations • Partner with delivery teams, client engineers, project managers, enterprise partners, and internal engineering teams • Drive on-time, high-quality technical execution • Troubleshoot complex implementation challenges • Author architectural documentation and establish best practices supporting long-term client self-sufficiency • Lead end-to-end design, implementation, and optimization of scalable data platforms • Drive client engagements across data engineering, advanced analytics, and AI initiatives • Migrate legacy systems, deploy production-grade lakehouse architectures, and ensure technology adoption

🎯 Requirements

• 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 • Experience with at least one major cloud provider: AWS, Azure, or GCP • Familiarity with CI/CD automation • Familiarity with DevOps best practices for data operations (DataOps) • Familiarity with production-grade pipeline management • Exceptional consulting skills • 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 preferred • Demonstrated success migrating legacy ETL/data warehouse environments to modern cloud data platforms preferred • Active Databricks certifications preferred • Previous experience in enterprise professional services, technical consulting, or client-facing solutions engineering preferred

🏖️ Benefits

• Open to B2B and permanent contract • Deep-dive into modern Lakehouse architectures (Medallion model, Delta Lake, PySpark) • Clear path to upskill in AI/ML engineering • Total location independence anywhere in Poland • Flexible working hours • Work-life balance • Continuous hands-on experience with emerging Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows • Stability, competitive compensation, and long-term project pipelines through a transparent B2B contract structure