Big Data Architect (Azure)

SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our associates are currently working 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 & Analytics Center of Excellence is the data consulting and data engineering branch at SoftServe. Starting as a small team back in 2013, it has grown into a community of hundreds of Data Engineers and Architects who design and deliver end-to-end Data & Analytics solutions — from strategy and technical design to proof of concept and large-scale implementation. We work with clients across Healthcare, Finance, Manufacturing, Retail, and Energy industries.

We hold top-level partnership statuses with major cloud providers.

• Care for your and your family’s wellness with a health insurance package
• Offer wide career opportunities, challenging projects, modern technologies, and a clear career path through SoftServe’s People Excellence program
• Provide access to 11,300+ learning solutions via SoftServe University and Udemy Business
• Support professional growth through certifications from leading providers such as Google and AWS
• Recognize top contributors and creative minds through the annual SoftServe Awards
• Enable recognition through the Customer Hero Program by creating exceptional customer experiences
• Support scaling expertise through participation in the Mentoring Program
• Contribute to the success of clients ranging from startups and ISVs to Enterprise and Fortune 500 companies

Zakres obowiązków

• Design and deliver end-to-end data architectures on Azure for enterprise-scale data platforms
• Translate business needs into scalable, secure, and high-performance data solutions
• 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

Wymagania

• An experienced Big Data Architect with hands-on expertise in building large-scale data platforms, migrations, and decision-support systems
• Skilled in designing and implementing modern data architectures (DWH, lakehouses, streaming, real-time, event-driven processing)
• Strongly experienced with Azure data ecosystem, including services such as Microsoft Fabric, Azure Synapse, Data Factory, ADLS Gen2, Cosmos, Azure SQL, Databricks, and Azure Stream Analytics
• Confident in SQL and Python (PySpark) for designing and optimizing data solutions
• Experienced in translating business requirements into scalable architecture and implementation roadmaps
• Comfortable acting as a customer-facing consultant, presenting architecture decisions and leading technical discussions
• Proven in leading and mentoring data engineering teams, providing technical direction and ensuring best practices
• Knowledgeable in data governance, security, and data management frameworks across modern data platforms
• Experienced in streaming and real-time processing (e.g., Kafka, Event Hub, Spark Structured Streaming)
• Strong in SDLC and software engineering best practices (CI/CD, version control, testing) applied to data platforms
• Proficient in supporting pre-sales activities, including discovery, solution shaping, and high-level estimations
• Fluent in English, with excellent communication and presentation skills in a multicultural environment

Tech stack

• Big Data
• DWH
• Azure Data
• Azure Synapse
• ADLS
• Azure SQL
• Databricks
• Azure Stream Analytics
• SQL
• Python
• PySpark
• Data engineering
• Security
• Data management
• Kafka
• Spark
• SDLC
• Testing