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SoftServe
Open role>1 month

Big Data Architect (Databricks + AWS)

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

Technology context

12

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

AWSJavaPythonReliability EngineeringKafkaScalabilitySparkSnowflakeDatabricksScalaSQLAirflow

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Role description

ABOUT THE ROLE

In this role, you will design and help implement scalable data platforms and data processing solutions on AWS. You will work across batch and real-time architectures, contributing to data ingestion, modeling, and analytics capabilities. As part of a collaborative engineering environment, you will partner with technical and business stakeholders to deliver reliable and production-ready solutions.

RESPONSIBILITIES

  • Design and implement scalable data pipelines and data platform components on AWS, ensuring reliability, performance, and maintainability
  • Own end-to-end delivery of data processing solutions, improving data quality, availability, and time-to-insight across use cases
  • Collaborate closely with engineers, architects, and business stakeholders to translate requirements into robust technical designs
  • Build and maintain batch and streaming data processing architectures using modern big data frameworks
  • Develop and manage data ingestion processes, including source-to-target mappings and onboarding new data sources
  • Orchestrate workflows using Apache Airflow or MWAA, ensuring efficient scheduling, monitoring, and error handling
  • Implement real-time data solutions using Apache Kafka, Amazon MSK, or Kinesis to support streaming use cases
  • Contribute to data warehousing and analytics solutions using Snowflake or Amazon Redshift, and maintain documentation and data models

REQUIREMENTS

  • Strong experience designing and building scalable data platforms and pipelines
  • Proven hands-on expertise with AWS services for data engineering and analytics workloads
  • Proficiency in Python, Scala, or Java, with strong SQL skills for data manipulation and querying
  • Experience with big data technologies such as Apache Spark, Databricks, or Flink
  • Practical knowledge of orchestration tools like Apache Airflow or MWAA
  • Experience working with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis
  • Familiarity with data warehousing solutions including Snowflake or Amazon Redshift
  • Analytical mindset with the ability to translate business needs into technical solutions
  • Upper-intermediate or higher level of English, with effective communication skills in a global environment