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# Data Architect

- **Company:** WEST Inc
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, BigQuery, Databases, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, SQL Databases, Google Cloud, Cloud Platform System, Azure Data Factory, Snowflake, Apache Spark, Data Strategy, Data Lakes, Kubernetes, Data Analytics, Star Schema, Apache Kafka, Data Management, Data Pipelines, Docker, Databricks
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-architect-chicago-il-usa-58911047

## About the Role

_ to integrate data solutions * Monitor and optimize performance, scalability, and cost efficiency * Engage with clients as a trusted data advisor * Create and maintain architecture diagrams, data models, and operational docs * Lead incident resolution and root-cause analysis * Drive innovation by applying AI, ML, and advanced analytics Tasks * 10+ years in data engineering or architecture * 3+ years in a leadership role * Experience delivering large-scale data solutions in cloud environments (AWS, Azure, GCP) * Expertise in data modeling, ETL, and data pipeline development * Experience with Databricks and/or Snowflake; Delta Lake and Spark-based transformations * Snowflake schema design and optimization; Snowflake features like time travel * Proficiency in Python, SQL, Java, or Scala * Experience with Hadoop, Spark, Kafka * Hands-on with cloud-native data services (e.g., Redshift, Synapse, BigQuery) * Strong database knowledge (relational, NoSQL, graph) * Familiarity with Docker a
by Kubernetes * Excellent leadership and communication skills * Ability to manage competing priorities and deliver under pressure * Willingness to travel 30-50%; hybrid in-office schedule * Preferred certifications such as Databricks Professional or Azure Data Engineer Associate * Analytical problem-solving and business impact translation * Strong organizational and project management skills * Ability to translate technical concepts for non-technical stakeholders * Ability to work across global client sites Key requirements * medical, dental, vision insurance * 401k with company features * annual bonuses * unlimited flexible time off * ten paid holidays * paid parental leave

## Description

Experteer Overview In this Data Architect role, you design and optimize data platforms to empower clients with data-driven decisions. You will shape data strategies, mentor engineers, and ensure scalable, efficient systems in a collaborative consulting environment. You'll lead architecture work across pipelines, warehouses, lakes, and analytics platforms, while driving governance, security, and innovation. This is a chance to influence client outcomes at scale and apply AI and advanced analytics to real-world challenges. Compensation / Benefits * Define data strategies and roadmaps with senior leadership * Architect robust, scalable, and secure data solutions (pipelines, warehouses, lakes, analytics platforms) * Establish data governance, quality, security, and regulatory compliance * Mentor and lead technical teams to deliver high-quality projects * Evaluate emerging tools and platforms to enhance data capabilities * Collaborate with business analysts, data scientists, and engineers to integrate data solutions * Monitor and optimize performance, scalability, and cost efficiency * Engage with clients as a trusted data advisor * Create and maintain architecture diagrams, data models, and operational docs * Lead incident resolution and root-cause analysis * Drive innovation by applying AI, ML, and advanced analytics Tasks * 10+ years in data engineering or architecture * 3+ years in a leadership role * Experience delivering large-scale data solutions in cloud environments (AWS, Azure, GCP) * Expertise in data modeling, ETL, and data pipeline development * Experience with Databricks and/or Snowflake; Delta Lake and Spark-based transformations * Snowflake schema design and optimization; Snowflake features like time travel * Proficiency in Python, SQL, Java, or Scala * Experience with Hadoop, Spark, Kafka * Hands-on with cloud-native data services (e.g., Redshift, Synapse, BigQuery) * Strong database knowledge (relational, NoSQL, graph) * Familiarity with Docker and Kubernetes * Excellent leadership and communication skills * Ability to manage competing priorities and deliver under pressure * Willingness to travel 30-50%; hybrid in-office schedule * Preferred certifications such as Databricks Professional or Azure Data Engineer Associate * Analytical problem-solving and business impact translation * Strong organizational and project management skills * Ability to translate technical concepts for non-technical stakeholders * Ability to work across global client sites Key requirements * medical, dental, vision insurance * 401k with company features * annual bonuses * unlimited flexible time off * ten paid holidays * paid parental leave


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