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SoftServe
Open role>1 month

Associate Data Architect (AWS)

SoftServeUkraine
Work model
Hybrid
Experience
7+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
10 tags

Technology context

10

Parsed from the vacancy text; ordered by relevance to this role.

AWSJavaPythonScalabilitySparkSnowflakeDatabricksScalaSQLAirflow

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Role description

ABOUT THE ROLE

In this role, you will help design and deliver scalable Data & Analytics solutions on AWS while advancing your expertise in Data Architecture alongside experienced architects. You will combine strong technical leadership skills with hands-on engineering experience to shape modern data platforms, support architectural decisions, and guide projects from discovery and solution design through production implementation.

RESPONSIBILITIES

  • Design and support the implementation of scalable data platforms and data processing solutions using AWS services to enable reliable and high-performing analytics ecosystems
  • Drive the development of data architectures, pipelines, and processing frameworks that improve scalability, data quality, and operational efficiency across batch and streaming workloads
  • Collaborate closely with customers, stakeholders, architects, and engineering teams to translate business requirements into practical technical solutions and delivery plans
  • Contribute to architectural discussions, solution design activities, and technology evaluations, supporting the selection of effective data technologies and patterns
  • Build, optimize, and maintain data processing solutions using technologies such as Apache Spark, Databricks, and Flink for large-scale analytical workloads
  • Guide engineering teams by promoting data engineering best practices, supporting technical decision-making, and ensuring successful solution delivery
  • Implement and manage orchestration workflows using Apache Airflow or MWAA while leveraging modern data warehousing technologies such as Snowflake and Amazon Redshift
  • Create and maintain architecture documentation, technical designs, implementation guidelines, and support project execution from PoCs and MVPs through full production deployment

REQUIREMENTS

  • Proven experience as a Data Tech Lead with hands-on expertise in designing scalable data platforms and data processing solutions on AWS
  • Strong knowledge of batch and streaming data processing architectures and best practices for modern data ecosystems
  • Practical experience with big data technologies such as Apache Spark, Databricks, or Flink
  • Proficiency in SQL and at least one programming language, preferably Python, as well as Scala or Java
  • Experience working with orchestration tools such as Apache Airflow or MWAA and modern data warehousing solutions including Snowflake and Amazon Redshift
  • Proficiency in transforming business requirements into scalable technical solutions and implementation roadmaps
  • Strong communication, presentation, and stakeholder management skills with the ability to work effectively across technical and business teams
  • Growth mindset and strong interest in developing into a Data Architecture role while supporting technical excellence and delivery success
  • Upper-intermediate or higher level of English