Data Architect

**Position Title: Data Architect

Location: Minneapolis, MN & Hartford, CT (Onsite)

Duration: 6 Months Contract** Job Description Strong hands-on experience in Python for data engineering and application development.

Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift.

Strong expertise in Apache Spark for large-scale batch data processing.

Hands-on experience with Apache Flink for real-time stream processing and event-driven data pipelines.

Experience designing and implementing batch and streaming data architectures.

Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts.

Experience with ETL/ELT frameworks and data integration.

Strong SQL skills and experience with relational and NoSQL databases.

Experience with Apache Kafka or similar messaging/event streaming platforms.

Strong understanding of distributed computing and big data technologies.

Experience with Docker, Kubernetes, and CI/CD pipelines.

Hands-on experience with Git and Agile development methodologies.

Design and implement scalable, secure, and high-performance data architecture solutions on AWS.

Build and optimize batch processing pipelines using Apache Spark.

Develop real-time streaming data solutions using Apache Flink.

Design end-to-end data ingestion, transformation, and processing pipelines.

Define data models, governance standards, and architectural best practices.

Python, Apache Spark, AWS, Apache Flink, batch and streaming data architectures, ETL/ELT, Apache Kafka, Docker, Kubernetes, CI/CD pipelines.