Big Data Architect (Databricks + Azure)

SoftServe

Poland

On-site

PLN 167,400 - 279,000

Full time

14 days+

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Benefits offered by this job

Career development plans
Access to Udemy courses
Support for professional certifications

Job summary

A leading digital solutions provider in Poland is seeking a skilled Data Architect to build large-scale data platforms and implementing Databricks-based solutions. You will engage with diverse stakeholders to gather requirements and define clear project scopes. The ideal candidate has hands-on expertise in data engineering, advanced SQL and Python skills, and experience with tools like Databricks and Azure. This role offers opportunities for growth and development in a collaborative environment.

Qualifications

  • Experienced Data Architect with hands‑on expertise in building large‑scale Data Platforms.
  • Advanced in SQL and Python with practical experience in data engineering.
  • Knowledgeable in establishing and enforcing data governance policies.

Responsibilities

  • Own source‑to‑target mappings and drive discovery of new data sources.
  • Assist the Data Engineering Team with implementation scope definitions.
  • Drive requirements gathering with business and tech stakeholders.

Skills

Building large-scale Data Platforms
Databricks solution architecture
SQL
Python
Data governance policies
Apache Kafka
Azure Data Factory
Business stakeholder engagement

Tools

Databricks
Azure SQL
Snowflake
Azure Data Lake Storage Gen2

Job description

WE ARE

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Big Data and Analytics is the Center of Excellence's data consulting and engineering branch. Hundreds of data engineers and architects nowadays build data and analytics end-to-end solutions, from strategy to technical design and proof of concepts to full-scale implementation. We have customers in the healthcare, finance, manufacturing, retail, and energy domains.

We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.

IF YOU ARE
  • Experienced Data Architect with hands‑on expertise in building large‑scale Data Platforms and decision‑support systems
  • Skilled in translating business challenges into Databricks‑based solution architectures and hands‑on in building enterprise‑scale Data & Analytics solutions leveraging the Databricks Lakehouse Platform on Azure
  • Capable of positioning Databricks against alternative platforms and articulating differentiation in technical and business terms
  • Proficient in pre‑sales engagements, collaborating with sales teams, account executives, and partners to drive opportunity qualification and closure, including discovery workshops, architecture envisioning sessions, value assessments, and technical solution shaping
  • Proactive in acting as a customer‑facing consultant, comfortable breaking down high‑level solution architecture into implementation phases and presenting decisions and proposals to customers
  • Comfortable delivering technical presentations, demos, architecture deep‑dives, and executive‑level solution storytelling
  • Adept in preparing Statements of Work (SoW), high‑level estimates, migration strategies, and roadmap proposals
  • Advanced in SQL and Python with practical experience in data engineering and analytics workloads on Databricks
  • Strongly experienced with Databricks (Delta Lake, Unity Catalog, Workflows, Jobs, SQL Warehouses) Azure Data Lake Storage Gen2 (ADLS Gen2) Azure Data Factory / Microsoft Fabric, Snowflake, Azure SQL and other Azure data services
  • Versed in streaming and real‑time architectures using Apache Kafka, Azure Event Hub, and structured streaming on Databricks
  • Knowledgeable in establishing and enforcing data governance policies using Unity Catalog in Databricks for centralized data access control, lineage, and auditing
AND YOU WANT TO
  • Own source‑to‑target mappings, drive discovery of new data sources, coordinate with business stakeholders on data ingestion
  • Assist the Data Engineering Team with clear implementation scope definitions
  • Participate in architecture decision‑making and scale the data platform by planning new data ingestion pipelines and maintaining the data model
  • Drive requirements gathering with business and tech stakeholders and assist with data modeling for systems using both Snowflake and Kafka
  • Create and maintain documentation for the data schema and model
  • Collaborate in a team of data‑focused engineers dedicated to continuous learning, improvement, and knowledge‑sharing
  • Be involved in the full project lifecycle, from initial design and proof of concepts (PoCs) to minimum viable product (MVP) development and full‑scale implementation
  • Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Big Data Community
TOGETHER WE WILL
  • Work with a cutting‑edge technology stack, including services from major cloud providers that are at the forefront of innovation and may not yet be generally available
  • Engage with customers from diverse backgrounds, ranging from large global corporations to emerging crypto startups preparing to launch their first product
  • Address different business and technology challenges, engage in impactful projects, use top‑notch technologies, and drive multiple initiatives as a part of the Center of Excellence
  • Support your technical and personal growth — we have a dedicated career plan for all roles in our company
  • Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe data community
  • Upskill with full access to Udemy learning courses
  • Pass professional certifications, encouraged and covered by the company

SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

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