Flexible Work Model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
ABOUT THE ROLE
In this role, you will contribute to designing and implementing scalable data platforms on Google Cloud Platform and Databricks, leveraging modern Big Data technologies and cloud-native services. You will work with batch and streaming data processing systems, helping organizations build reliable, high-performance analytics platforms while collaborating with technical and business stakeholders throughout the full project lifecycle—from discovery and solution design to production implementation.
RESPONSIBILITIES
- Design and support implementation of scalable, high-performance data platforms using Databricks and Google Cloud data services
- Build and optimize data processing solutions using Python, SQL, Apache Spark, and modern cloud-native technologies
- Design and implement batch and streaming data pipelines, data models, and analytics solutions
- Collaborate with technical and business stakeholders to translate business requirements into technical solutions and implementation plans
- Guide engineering teams by promoting technical best practices and reviewing solution designs
- Participate in architecture discussions, technical evaluations, and Proof of Concept (PoC) activities
- Ensure data quality, reliability, governance, and performance across cloud-based data platforms
- Contribute to continuous improvement initiatives and knowledge sharing within the engineering community
REQUIREMENTS
- Proven experience as a Tech Lead, Senior Data Engineer, or Associate Data Architect designing enterprise-scale data platforms
- Strong proficiency in Python or Scala, combined with advanced SQL skills
- Extensive hands-on experience with Apache Spark (PySpark/Spark SQL)
- Experience with Databricks or Google Cloud data services such as BigQuery, Dataflow, Dataproc, or Cloud Composer
- Strong understanding of modern data modeling, data warehousing, and pipeline orchestration using technologies such as Airflow or Databricks Workflows
- Strong communication and stakeholder management skills with the ability to explain technical concepts to both technical and business audiences
- Upper-intermediate or higher level of English
- Experience with Databricks governance capabilities (e.g., Unity Catalog, Delta Lake, or Delta Live Tables), cloud migration or multi-cloud data platforms, pre-sales activities, or industry certifications (Databricks or Google Cloud) is a plus
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Role Summary
Location
Bulgaria, Poland, Romania
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Data & Analytics
Tech level
Lead
Apply Now
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.