Little Rock, Arkansas30+ days ago
Education & Experience: Bachelor’s degree in Computer Science, Engineering, or related field/equivalent professional experience; Minimum of 5 years of hands-on experience in data engineering, analytics, or data platform roles; Skills & Knowledge: Proficiency with Azure Databricks (Python, SQL, Delta Lake, Delta Live Tables), Azure Data Factory; Strong command of dbt (SQL, Jinja) and Power BI for data transformation and reporting; Deep understanding of: OLAP: Dimensional modeling (Kimball); OLTP: Database design in platforms such as SQL Server and DB2; Familiarity with Git/GitHub, CI/CD practices, and Infrastructure as Code (e.g., Terraform); Experience with data security, governance, and compliance (e.g., SPII, PCI DSS, SOC, GDPR), especially in regulated industries; Proven ability to translate data insights into business value; Demonstrated success in platform modernization and data infrastructure scaling; Expertise with MS SQL Server, SSIS, and advanced SQL optimization techniques; Ability to analyze business needs and translate them into functional and technical specifications; Experience working with data lakes, data warehouses, and data migration strategies; Knowledge of mainframe systems and DB2 is a plus; Familiarity with Linux/Unix environments; Strong understanding of ITIL, Agile, SDLC, and DevOps methodologies; Willingness to provide on-call support as part of a rotation; Experience preparing analytics environments for AI/ML workloads and real-time analytics; Ability to enable secure data sharing and third-party integrations; Strong awareness of current data and analytics trends (e.g., real-time analytics, open data formats, AI assistants, compliance tech); They are a growth-driven, mission-aligned organization focused on building resilient, client-centered data platforms that power decision-making and innovation across the financial services ecosystem.