**_This position will follow our hybrid work model, we expect the selected candidate to be in the office 8-10 days per month at the St. Petersburg, FL Corporate Office location._** **_Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future._** **Key Responsibilities** + Optimize database and query performance to meet strict SLAs (e.g., <2 seconds response time). + Analyze execution plans and recommend strategies for indexing, partitioning, and query optimization. + Collaborate with DBAs to validate and implement performance tuning recommendations. + Oversee and enhance ETL/ELT workflows using **Oracle Data Integrator (ODI)** , ensuring scalability, efficiency, and data quality. + Leverage **AWS services** (S3, Redshift, Glue, Lambda, DMS) for cloud-based data ingestion, transformation, and storage. + Lead and mentor a team of data engineers, fostering a culture of technical excellence and continuous improvement. + Translate complex technical decisions into clear, actionable insights for both technical and non-technical stakeholders. + Ensure data solutions align with business goals, compliance standards, and industry best practices. **Required Qualifications** + 7+ years of experience in data engineering within enterprise-scale environments. + Proven expertise in **Oracle performance tuning** , including query optimization, execution plans, indexing, partitioning, and parallelism. + Strong proficiency in writing and optimizing complex SQL queries. + Hands-on experience with **Oracle Data Integrator (ODI)** . + Solid understanding of data warehouse design, ETL/ELT processes, and data modeling. + Experience with **AWS data services** (S3, Redshift, Glue, Lambda, DMS). + Demonstrated leadership experience, including mentoring and guiding technical teams. + Excellent verbal and written communication skills. **Preferred Qualifications** + Prior experience in **Wealth Management** or **Financial Services** . + Advanced expertise in **Oracle Data Integrator (ODI)** . + Familiarity with data governance, compliance, and security standards in financial environments. **Soft Skills & Leadership Competencies** To succeed in this role, the ideal candidate should demonstrate: + **Strategic Thinking** : Ability to align data engineering efforts with business objectives. + **Collaboration** : Strong interpersonal skills to work effectively with cross-functional teams including DBAs, analysts, and business stakeholders. + **Problem Solving** : Analytical mindset with a proactive approach to identifying and resolving performance bottlenecks. + **Adaptability** : Comfortable working in a fast-paced, evolving cloud and hybrid data environment. + **Mentorship** : Passion for developing talent and fostering a high-performing team culture. + **Integrity & Accountability** : Commitment to delivering reliable, secure, and compliant data solutions.