Senior Data Solution Architect

at  EPAM Systems Inc

Are you an influential Architecture leader with a passion for leading strategic initiatives that make a huge impact? We are hiring a Senior Data Solution Architect who will work alongside a dynamic team to identify complex business problems and create solution-oriented strategies for some of the most recognized brands. Apply now to connect with a recruiter about this influential role at EPAM!
Req.#713394518

REQUIREMENTS

• Extensive experience working in Solution Architecture with a background in data & analytics (10+ years)
• Hands-on designing, developing & maintaining enterprise-scale data platforms
• Strong understanding of big data technologies and frameworks such as Databricks, Snowflake, Apache Spark, Kafka, AWS Glue, AWS EMR, AWS Redshift, GCP Dataflow, GCP BigQuery, Azure Data Factory and Azure Synapse
• Highly skilled with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud
• Proven history working with client-driven large-scale implementation projects
• Background in programming and scripting languages such as Java, Python, or Scala
• Knowledge of Data Science and Analytics (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning)
• Deep understanding of Agile (Scrum) and common SDLC practices
• Expert in data platform design, development, and maintenance
• Comfortable with technology consulting, technical team leading, and team management
• Exposure to design patterns, refactoring concepts, unit tests, and CI/CD
• Practical expertise in performance tuning, optimization, and bottleneck analysis

• Design, implement, and deploy data platforms at scale in both public and private clouds
• Guide clients in establishing their data strategy, including data governance, data architecture, and data quality management
• Educate clients on modern technologies, architectures, and approaches for data & analytics
• Drive discovery phases, understand business problems, and propose technical solutions to address them
• Define development processes, platforms, and tools usage for data acquisition, storage, transformation, and analysis
• Develop roadmaps and implementation strategies around data & analytics initiatives
• Review and audit existing solutions, designs, and system architecture
• Create architecture documentation & presentations
• Communicate proposed solutions to multiple levels of stakeholders, from C-level to engineering teams