Job Description Day to Day: In this role, youll leverage your expertise in GCP and data engineering to modernize legacy applications and build scalable cloud analytics platforms. Youll collaborate with global engineering teams to define and implement enterprise data strategies, working closely with stakeholders to align solutions with business needs and regulatory requirements. Your responsibilities will include designing and delivering a unified data platform on GCP, guiding teams on data modeling and architecture, and advising on best practices for cloud security, DevOps, and data mesh. Youll also support proof-of-concepts, product evaluations, and integration efforts, while enabling insights through AI/ML platforms and modern data solutions. 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 Must Have:   5+ years of analytics application development experience   5+ years of SQL development experience   3+ years of cloud experience (GCP preferred) with production-scale solutions   Strong experience with GCP Big Data tools such as BigQuery, BigTable, Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Build, Airflow, and Terraform (or equivalent technologies)   In-depth understanding of cloud architecture and Google Cloud Platform services   Strong understanding of DevOps principles, CI/CD pipelines, and automated testing   Familiarity with cloud security best practices (IAM, encryption, network security)   Experience with domain-driven design and data mesh principles   Ability to design and implement data lakes, warehouses, and analytics platforms Strong understanding of microservices architecture Plusses:   Bachelors degree in Computer Science, Engineering, Data Science, or related field   Google Professional Cloud Data Engineer certification   Experience in banking or financial regulatory reporting   Experience migrating legacy analytics applications to cloud platforms   Strong leadership, communication, and presentation skills   Exposure to diverse technologies and platforms Ability to work in fast-paced, multi-project environments 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 HR@insightglobal.com.