DescriptionNote: This position will follow our hybrid work model, we expect the selected candidate to be in the office 8 days per month at the St. Petersburg, FL Corporate Office location.Job Summary:The Lead Data Engineer works as part of the Enterprise Data Team and will be responsible for developing Data Integration solutions in support of a critical data platform. The Lead Data Engineer plays a key role in the journey of Raymond James to develop a leading Wealth Management Platform. This position will have extensive contact with multiple application development teams and other shared services teams.Essential Duties and Responsibilities:
Builds scalable and reliable Data Integration solutions which are flexible, scalable and elastic.
Develops low latency Data Integration solutions to provision data near real time for multiple consumers.
Collaborates with Data Engineers, Data Architects and Service developers to build optimal and efficient ETL and Database code.
Produces dynamic, data driven solutions to support the strategic business goals.
Focus on designing, building, and launching efficient and reliable data infrastructure to scale and compute to meet business objectives.
Works on and contributes to a projects successful completion as defined by predetermined project success criteria including those established by the business, capital expenditure and budget requirements.
Acts as an Application Support specialist for critical production applications and optimizes the batch flow to meet the defined SLA’s.
Produces dynamic, data driven solutions to support the strategic business goals.
Performs other duties and responsibilities as assigned.
QualificationsKnowledge, Skills, and Abilities:
Expert level experience with ETL Tools; ODI experience is as plus.
Expert level experience with any Database Platforms; Oracle, AWS Redshift experience is a plus.
Expert level experience in SQL tuning, tuning ETL solutions, physical optimization of databases.
Very familiar with SRE concepts which includes evaluating and implementing monitoring and observability tools like Splunk, Data Dog, CloudWatch and other job, log or dashboard concepts for customer support and application health checks.
Experience or understanding of AWS services and languages like Terraform, DMS, S3, Spark, Python, Glue and EMR is a huge plus.
Ability to collaborate with our business partners to understand and implement their requirements.
Excellent interpersonal skills and be able to build consensus across teams.
Strong critical thinking and ability to think out-of-the box.
Self-motivated and able to perform under pressure.
Occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities.
Education/Previous Experience:
Minimum of a Bachelor’s degree in Computer Science, MIS or related degree and five (5) years of relevant development or engineering experience or combination of education, training and experience.
More than five (5) years of experience as a Data Engineer would be highly preferred.
Financial Services Industry knowledge is a plus.
Licenses/Certifications:
None required.
Job: TechnologyPrimary Location: US-FL-St. Petersburg-Saint PetersburgOther Locations: US-FL-St. Petersburg-Saint PetersburgOrganization TechnologySchedule Full-timeJob Shift Day JobTravel Yes, 5 % of the TimeReq ID: 2401754