Associate Data Architect (AWS)

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

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.