Data Architect (AWS)
ABOUT THE ROLE
In this role, you will contribute to designing and implementing scalable data platforms and data processing solutions within AWS environments. You will work with both batch and streaming architectures, collaborate with technical and business stakeholders, and support delivery activities across the full project lifecycle in a collaborative and innovation-driven engineering environment.
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe
- Proven experience designing scalable data platforms and data pipeline architectures
- Hands-on experience with batch and streaming data processing solutions
- Strong expertise in AWS cloud services for data engineering and analytics workloads
- Proficiency in Python, Scala, or Java (preferably Python), along with strong SQL skills
- Knowledge of big data technologies such as Apache Spark, Databricks, or Flink
- Experience with orchestration tools such as Apache Airflow or MWAA
- Practical experience with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis
- Familiarity with data warehousing solutions such as Snowflake or Amazon Redshift
- Upper-intermediate or higher level of English