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Solutions Architect Data Engineer

Insight Global

Wood Dale, ILJobNo compensation foundTracked todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Wood Dale, IL
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Solutions Architect with a data engineering focus will design and architect enterprise-wide data and analytics solutions, define scalable architectures, integration patterns, and technical solutions, and partner with engineering teams to expose data services through APIs while ensuring best practices for scalability, performance, governance, and maintainability.

Skills & qualifications

RequiredNice to have

Skills

Advanced SQLPySparkPythonJava Spring BootData Integration and ETL/ELT DevelopmentSpark / DatabricksSnowflakeKafkaCloud-Native Data Services

Qualifications

7+ Years Data Engineering ExperienceBachelor's Degree in Related FieldExtensive Experience With Data Modeling and Data Warehousing ConceptsStrong Experience Designing Cloud-Based Data Analytics Solutions

Full job description

Job Description

Our client is looking for a Solutions Architect with a data engineering focus to come in drive the design and architecting for an enterprise-wide data and analytics solutions supporting various company Market Intelligence initiatives. They will be a key player in defining scalable data architectures, integration patterns, and technical solutions across multiple platforms. They will partner closely with the distribution engineering team and software engineering to design and expose data services through APIs. They will Collaborate with developers and stakeholders to translate business requirements into technical solutions and ensure best practices for scalability, performance, governance, and maintainability across analytics solutions.

They will specifically provide architectural direction across:

o Data pipelines and integrations

o Data modeling and warehousing

o Analytics platforms and BI reporting

o API and system integrations

o Cloud infrastructure components

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

  • 7+ years of experience in Data Engineering, Solution Architecture, Analytics Engineering, or related technical skills.

  • Strong experience designing and implementing cloud-based data analytics solutions.

  • Advanced SQL expertise with strong analytical and data processing capabilities.

  • Hands-on experience with:

o PySpark

o Python

o Java Spring Boot

o Data integration and ETL/ELT development

o Spark / Databricks

o Snowflake

o Kafka

o Cloud-native data services

  • Extensive experience with data modeling and data warehousing concepts.

  • Experience designing and consuming APIs and integrating enterprise systems.

  • Strong understanding of modern business intelligence and analytics platforms.

  • BA in related field. • Background as a Data Engineer with progression into Solution Architecture.

  • Experience supporting large-scale analytics and market intelligence environments.

  • Ability to balance strategic architecture with technical execution.

  • Demonstrated success operating independently in fast-paced and evolving environments.

You've read the whole posting — now see how you match it.