EPAM Systems
Overview
We are seeking an experienced
Senior Data Solution Architect
to join our team. In this role, you will be responsible for designing and implementing advanced data solutions that support business objectives. You will collaborate with cross-functional teams to deliver scalable and efficient architectures for modern data platforms. Responsibilities
Develop and oversee data architecture strategies for large-scale projects Design and implement scalable data pipelines and lakes for high-volume ingestion Build real-time streaming solutions using Azure Data Explorer for operational analytics Lead the creation of ETL and ELT processes with Azure Data Factory for seamless data integration Optimize distributed data processing workflows with PySpark in Azure Databricks Architect cloud infrastructure solutions using IaaS and PaaS models in Azure Establish networking and CI/CD pipelines with Azure DevOps for automated deployments Formulate cloud strategies for cost-effective and scalable data analytics using ADX Apply time-series analysis and operational analytics with Kusto Query Language Implement data governance frameworks and security policies with Azure Purview Translate business requirements into technical solutions leveraging Azure services Mentor and guide cross-functional teams to foster collaboration and technical growth Promote Agile and DevOps practices for continuous integration and delivery Requirements
At least 10 years of experience in data architecture or related fields At least 5 years in leadership roles such as Lead, Manager, or Architect within Agile or hybrid settings Proven experience managing teams of 40 or more professionals Participation in a minimum of 8 complete project cycles or involvement in launching at least 2 products or major product capabilities Advanced expertise in Azure Data Lake, Azure Databricks (PySpark), Azure Synapse, Azure Data Factory, and Azure Data Explorer for analytics and log processing Proficiency in distributed data processing and optimization with PySpark in Azure Databricks Strong background in designing scalable data pipelines, lakes, and real-time streaming architectures using ADX Hands-on experience with ETL and ELT automation in Azure Data Factory Solid understanding of cloud infrastructure, including IaaS, PaaS, networking, and CI/CD with Azure DevOps Ability to create scalable and cost-efficient data architectures for telemetry and log analytics using ADX Experience in time-series data analysis and operational analytics with ADX and KQL Knowledge of data security, governance frameworks, and compliance using Azure Purview Skill in translating business needs into technical solutions focused on Azure and ADX Strong communication, teamwork, and mentoring skills within cross-functional groups Familiarity with Agile methodologies and DevOps practices for continuous integration Advanced proficiency in English, both written and spoken Nice to have
Advanced programming skills in Python and SQL, with knowledge of Scala as an advantage Certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or Databricks Certified Spark Developer We offer
International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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We are seeking an experienced
Senior Data Solution Architect
to join our team. In this role, you will be responsible for designing and implementing advanced data solutions that support business objectives. You will collaborate with cross-functional teams to deliver scalable and efficient architectures for modern data platforms. Responsibilities
Develop and oversee data architecture strategies for large-scale projects Design and implement scalable data pipelines and lakes for high-volume ingestion Build real-time streaming solutions using Azure Data Explorer for operational analytics Lead the creation of ETL and ELT processes with Azure Data Factory for seamless data integration Optimize distributed data processing workflows with PySpark in Azure Databricks Architect cloud infrastructure solutions using IaaS and PaaS models in Azure Establish networking and CI/CD pipelines with Azure DevOps for automated deployments Formulate cloud strategies for cost-effective and scalable data analytics using ADX Apply time-series analysis and operational analytics with Kusto Query Language Implement data governance frameworks and security policies with Azure Purview Translate business requirements into technical solutions leveraging Azure services Mentor and guide cross-functional teams to foster collaboration and technical growth Promote Agile and DevOps practices for continuous integration and delivery Requirements
At least 10 years of experience in data architecture or related fields At least 5 years in leadership roles such as Lead, Manager, or Architect within Agile or hybrid settings Proven experience managing teams of 40 or more professionals Participation in a minimum of 8 complete project cycles or involvement in launching at least 2 products or major product capabilities Advanced expertise in Azure Data Lake, Azure Databricks (PySpark), Azure Synapse, Azure Data Factory, and Azure Data Explorer for analytics and log processing Proficiency in distributed data processing and optimization with PySpark in Azure Databricks Strong background in designing scalable data pipelines, lakes, and real-time streaming architectures using ADX Hands-on experience with ETL and ELT automation in Azure Data Factory Solid understanding of cloud infrastructure, including IaaS, PaaS, networking, and CI/CD with Azure DevOps Ability to create scalable and cost-efficient data architectures for telemetry and log analytics using ADX Experience in time-series data analysis and operational analytics with ADX and KQL Knowledge of data security, governance frameworks, and compliance using Azure Purview Skill in translating business needs into technical solutions focused on Azure and ADX Strong communication, teamwork, and mentoring skills within cross-functional groups Familiarity with Agile methodologies and DevOps practices for continuous integration Advanced proficiency in English, both written and spoken Nice to have
Advanced programming skills in Python and SQL, with knowledge of Scala as an advantage Certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or Databricks Certified Spark Developer We offer
International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
#J-18808-Ljbffr