Proven experience as a BigData Architect 2+ yearsДосвід · Обов’язково
Hands-on expertise in building large-scale data platforms, migrations, and decision-support systemsІнше · Обов’язково
Knowledge of designing and implementing modern data architectures (DWH, lakehouses, streaming, real-time, event-driven processing)Інше · Обов’язково
Experience with Azure data ecosystem, including services such as Microsoft Fabric, Azure Synapse, Data Factory, ADLS Gen2, Cosmos, Azure SQL, Databricks, and Azure Stream AnalyticsНавичка · Обов’язково
Familiarity with SQL and Python (PySpark) for designing and optimizing data solutionsНавичка · Обов’язково
Experience in translating business requirements into scalable architecture and implementation roadmapsІнше · Обов’язково
Openness for acting as a customer-facing consultant, presenting architecture decisions, and leading technical discussions
Інше · Обов’язково
Readiness for leading and mentoring data engineering teams, providing technical direction, and ensuring best practicesІнше · Обов’язково
Knowledge of data governance, security, and data management frameworks across modern data platformsІнше · Обов’язково
Hands-on experience in SDLC and software engineering best practices (CI/CD, version control, testing) applied to data platformsНавичка · Обов’язково
Proficiency in supporting pre-sales activities, including discovery, solution shaping, and high-level estimationsІнше · Обов’язково
Working proficiency in English, with excellent communication and presentation skills in a multicultural environmentМова · Обов’язково
SoftServe is an equal opportunity employer.Інше · Обов’язково
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.Інше · Обов’язково
In this role, you will design and deliver end-to-end data architectures on Azure for enterprise-scale data platforms and translate business needs into scalable, secure, and high-performance data solutions.
Responsibilities
Lead architecture design and decision-making, defining standards, patterns, and best practices
Collaborate with stakeholders to drive requirements gathering, data modeling, and solution design
Support and guide engineering teams in implementing data pipelines and platform components
Contribute to pre-sales activities, including workshops, solution envisioning, and proposal creation
Build and evolve data platforms, including ingestion, transformation, storage, and serving layers
Ensure data governance, quality, and security standards across the platform
Participate in the full project lifecycle, from PoC through MVP to full-scale implementation
Explore new technologies, build prototypes, and contribute to the Big Data community
Requirements
Proven experience as a BigData Architect 2+ years
Hands-on expertise in building large-scale data platforms, migrations, and decision-support systems
Knowledge of designing and implementing modern data architectures (DWH, lakehouses, streaming, real-time, event-driven processing)
Experience with Azure data ecosystem, including services such as Microsoft Fabric, Azure Synapse, Data Factory, ADLS Gen2, Cosmos, Azure SQL, Databricks, and Azure Stream Analytics
Familiarity with SQL and Python (PySpark) for designing and optimizing data solutions
Experience in translating business requirements into scalable architecture and implementation roadmaps
Openness for acting as a customer-facing consultant, presenting architecture decisions, and leading technical discussions
Readiness for leading and mentoring data engineering teams, providing technical direction, and ensuring best practices
Knowledge of data governance, security, and data management frameworks across modern data platforms
Familiarity with streaming and real-time processing (e.g., Kafka, Event Hub, Spark Structured Streaming)
Hands-on experience in SDLC and software engineering best practices (CI/CD, version control, testing) applied to data platforms
Proficiency in supporting pre-sales activities, including discovery, solution shaping, and high-level estimations
Working proficiency in English, with excellent communication and presentation skills in a multicultural environment
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.