Position: Data Architect
Company: EPAM Systems
Category: Lead
Experience required: 5y
English level: upper
Published: 2023-02-01T00:00:00+02:00

We are looking the **Data Architect** with extensive specialized expertise in data modeling, quality management and business analysis. 

As the Data Architect for **EPAM Digital Platform**, you are passionate about data and making sure data flowing through the system is accurate, consistent, and traceable. You will help design the data processing pipelines and data lake systems to manage our fast-growing global data set; define how the data will be stored, consumed, integrated and managed; lead the data analysis and develop algorithms for systematically identifying issues and improving data acquisition, ingestion, cleansing, and enriching. You will interact regularly with engineering and product team members, bringing in best practices and providing expert level guidance to the organization related to data and metrics. 

**Job Description**

·       Work closely with business in identifying solution requirements and key case-studies/scenarios to architect data solution for business transformation.

·       Create and maintain data product framework, lead data products delivery in coordination with data and product owners, engineering teams. Define technical standards and guidelines.

·       Collect, maintain and share experience, knowledge, vision and best practices with colleagues, development and operation teams.

·       Design data flows, data publishing and consumption across EPAM Digital platform, design canonical data views

·       Overseeing and improving data acquisition, collection, storage, processing, cleansing, enriching and protection

·       Establish data control procedures, review and improve business process to maintain and improve data quality

·     Cooperate with Data Governance team on data governance processes, improvement of corporate policies, related to data product standards, quality and information security

·       Cooperate with Data Privacy Office to comply with data protection regulations, improve data privacy policies, including provisioning, approval, access and revocation processes

·       Design data solutions, conduct solution architecture review/audit to improve data processing across EPAM Digital platform

·       Lead platform toolset development and operation to support data governance processes, from establishing requirements and goals to "go-live".

·       Outline the goals for research and development. Conduct PoCs, analyze the ROI and kick-off projects to improve data processing pipelines and platform capabilities.

 **Requirements**

Strong ‘hands-on’ experience as a Data Architect with a solid design/development background
Highly skilled in SQL and RDBMS
Architecture experience and practice in Data Management, Data Storage, Data Visualization, Security.
·       Experience in continuous delivery tools and technologies; understanding the software development life cycle and software project management approaches.

·       Able to lead Data initiatives on enterprise level and to architecture business transformations with data technologies.

Experience delivering data analytics projects and architecture guidelines.
Strong in research, comparison and selection of tools / technologies / approaches to be used.
Practical experience in performance tuning and optimization, bottleneck problem analysis.
Strong communication skills.
Experienced in solution implementation supervision and establish cooperation of cross-functional teams.
English B2+


**Technology Stack**

RDBMS: Oracle/PostgreSQL (+ extensions CitusData/PipelineDB/TimescaleDB)
Big Data stack: Kafka/Apache Pulsar
Queues and Stream processing: Kafka Connect/Kafka Streams/KSQL, PipelineDB.
Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI)
Data Visualization: Power BI/Tableau/QlikView.
Flow Management: Spring Cloud Streams, NiFi.
Big Data Architecture design patterns: Data Lake, Data Hub, Data Warehouse.