Data Architect

Saransh Inc; Hartford (CT); On-site; USD 124,000 - 207,000; Part time

Job summary

Saransh Inc. seeks a Data Architect to design and implement scalable data platforms in a fast-paced environment. Location is onsite in Minneapolis, MN and Hartford, CT with a contract mindset for rapid delivery.

The role focuses on Python data engineering, AWS services, Spark and Flink for batch and streaming pipelines, and governance of data models. You’ll work with Docker, Kubernetes, and CI/CD in agile teams.

Qualifications

• Hands-on Python for data engineering and app development.
• Extensive AWS data services and Spark experience.
• Experience with streaming data using Flink and Kafka.
• Modeling, data warehousing, and data governance awareness.

Responsibilities

• Design and implement scalable data architectures on AWS.
• Build batch and real-time pipelines using Spark and Flink.
• Define data models and governance standards.
• Develop ETL/ELT processes and data integration.
• Collaborate in Agile teams with CI/CD pipelines.

Skills

Python

AWS

Apache Spark

Apache Flink

Apache Kafka

SQL

CI/CD

Git

Tools

Docker

Kubernetes

CI/CD tooling

Job description

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.