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Data Solution Architect Remote

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Data Solution Architect Description

Job #: 83273
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Data Solution Architect . Scroll down to learn more about the position’s responsibilities and requirements.



  • Design and evolve large-scale data-driven solutions
  • Drive direct communications with business stakeholders
  • Elaborate on all technical aspects for the development team, provide justification for any architectural decision
  • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
  • Create and present solution architecture documentation with deep technical details to customer and implementation teams
  • Participate in the full cycle of pre-sale activities
  • Lead solution architecture evaluation and assessment activities
  • Continuously research emerging technologies, participate in company level knowledge sharing initiatives, PoCs and training programs


  • Experience in requirements engineering, solution architecture, systems development, deployment and maintenance
  • Knowledge of architecture, design patterns and technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.)
  • Profound knowledge of the technology’s internals for at-least 1 technology domain
  • Solid understanding of the core concepts in data and analytics platfrom architectures, data warehousing, business intelligence, data management, integration, security and operations areas • Wide ex
  • Wide experience in design, implementation, deployment, troubleshooting and replatforming of distributed systems both on premises and in the Cloud
  • Structured and systematic knowledge of the entire of architecture design process (requirements, quality attributes, technology selection, estimation, proposal verification, documentation, etc.)
  • Experience in all phases of the software development life cycle using different development methodologies and best practices
  • Highly organized and detail-oriented
  • Good communication skills
  • Fluent English


  • Clouds: AWS, Azure, GCP
  • Distributed data processing & ETL Frameworks: Apache Spark (and related cloud specific technologies such as AWS EMR, GCP DataProc, Azure HD Insight), GCP DataFlow, AWS Glue, Databricks
  • Distributed Environments: Kubernetes, Docker, AWS ECS, Google Kubernetes Engine, Azure Kubernetes Services
  • Analytical Data Warehousing: Snowflake, AWS Redshift, Azure Synapse, GCP BigQuery
  • Relational Databases: PostgreSQL, AWS SQL DB, GCP Cloud SQL
  • Lightweight/Serverless Compute: AWS Lambda Functions, GCP Cloud Functions, Azure Functions
  • No-SQL/Specialized Databases: Cassandra, MongoDB, Azure Cosmos DB, GCP BigTable, Redis (including cloud analogs)
  • Data Catalogs & Metadata Management: Collibra, Alation, Informatica,Azure Purview, Google Dataplex
  • Integration & flow management: AWS Step Functions, Airflow/ GCP Cloud Composer, Azure Data Factory, Kafka Connect
  • Data Streaming: Kafka, AWS Kinesis, GCP Pub/Sub, Azure Event Hub
  • Object storages: S3, ADLS, GCS, HDFS, Minio
  • Search platforms: Solr, ElasticSearch
  • ML: MLflow, Kubeflow, AWS Sagemaker, Azure ML, GCP AI Platform
  • Data Visualization: Power BI, Tableau, QlikView, Spotfire, Jupyter
  • Platform Operations: IaaC (Terraform, AWS CloudFormation, Azure DevOps etc.), IaM (Azure AD, AWS Cognito, etc.), monitoring (Prometheus, Splunk, Azure Monitor, etc.), CI/CD (Jenkins, GCP Cloud Build, etc.), Cloud cost managment, secuity & networking tools
  • Programming Languages: Java, Scala, Python

We offer

  • Career plan and real growth opportunities
  • Unlimited access to LinkedIn learning solutions
  • International Mobility Plan within 25 countries
  • Constant training, mentoring, online corporate courses, eLearning and more
  • English classes with a certified teacher
  • Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
  • Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more.)
  • Flexible work schedule and dress code
  • Collaborate in a multicultural environment and share best practices from around the globe
  • Hired directly by EPAM & 100% under payroll
  • Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
  • Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage. (For the employee and direct family members)
  • 13 % employee savings fund, capped to the law limit
  • 30 days of salary December Bonus
  • Grocery coupons
  • 12 vacations days plus 3 floating days
  • Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st
  • Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
  • Monthly non-taxable amount for the electricity and internet bills
  • Employee Stock Purchase Program


  • By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice (https://www.epam.com/applicant-privacy-notice) and Policy (https://www.epam.com/privacy-policy)


  • Data Processing Architecture
  • Streaming Architecture
  • Data Platform Operations
  • Metadata Management Architecture
  • Cloud Data Services Architecture
  • ML and MLOps Architecture
  • Data Warehouse Architecture
  • Data Management
  • Business Intelligence Solutions
  • Data Integration Architecture
  • Data Security Architecture