• Sr. Manager of Data Engineering

    Insight Global (Carmel, IN)


    Job Description

    Insight Global is looking for a Senior Manager of Data Engineering, you will lead a team of skilled data experts, engineers, and analysts dedicated to establishing a strong foundation and advancing the next generation of data engineering solutions. This team plays a pivotal role in enabling our team to effectively harness data, driving data strategy and fostering innovation. With the growing emphasis on data-driven decision-making, this position is essential in overseeing the development, and maintenance of engineering practices that supports analytics and business intelligence.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To 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

     

    Bachelors degree in Data Science, Computer Science, Information Technology, Engineering, Business, or related field, or at least 12 years relevant technical experience

     

    Expertise in Azure and modern data architectures, including Azure Data Factory, Synapse Analytics, Databricks, Data Lake, Cosmos DB, and real-time streaming solutions.

     

    Strong understanding of data engineering best practices, including data warehousing, lakehouses, batch/streaming pipelines, and metadata management.

     

    Proficient in database technologies, spanning relational (SQL Server, PostgreSQL) and NoSQL systems (Cosmos DB, MongoDB), with experience integrating BI tools like Power BI and Tableau.

     

    Knowledge of DevOps/DataOps methodologies, including infrastructure-as-code, CI/CD, version control (Git), and testing frameworks for scalable data pipeline automation. Masters degree

     

    Demonstrated leadership abilities via mentoring relationships, leading initiatives with strong collaboration, or leading ad hoc teams null

     

    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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].