Summary
✨ AI‑Generated
A technology services organization is hiring a Data Architect to design cloud-based data platforms, build processing architectures, and support end-to-end data solutions.
Highlights
Design scalable data platforms and modern processing solutions using cloud technologies while collaborating with technical stakeholders.
Description
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.
Responsibilities
Design and support the implementation of scalable data solutions and data pipelines using AWS servicesDevelop and maintain batch and streaming data processing architecturesCollaborate with stakeholders to gather requirements and translate them into technical solutions and implementation plansSupport data ingestion activities, including source-to-target mappings and integration of new data sourcesParticipate in architecture discussions and contribute to scaling the data platform and maintaining data modelsWork with orchestration tools such as Apache Airflow or MWAA to manage workflowsSupport implementation of real-time data processing solutions using Apache Kafka, Amazon MSK, or KinesisUtilize data warehousing solutions such as Snowflake or Amazon Redshift for analytics and storageCreate and maintain technical documentation, data schemas, and solution-related materialsParticipate in the full project lifecycle, from PoC and MVP stages to production implementationExplore new technologies, build prototypes, and contribute to knowledge sharing within the engineering community
Requirements
Proven experience designing scalable data platforms and data pipeline architecturesHands-on experience with batch and streaming data processing solutionsStrong expertise in AWS cloud services for data engineering and analytics workloadsProficiency in Python, Scala, or Java (preferably Python), along with strong SQL skillsKnowledge of big data technologies such as Apache Spark, Databricks, or FlinkExperience with orchestration tools such as Apache Airflow or MWAAPractical experience with streaming technologies such as Apache Kafka, Amazon MSK, or KinesisFamiliarity with data warehousing solutions such as Snowflake or Amazon RedshiftUpper-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.
