Senior Data Engineer

Orlando, FL - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

SENIOR DATA ENGINEER

Orlando FL

Full-time

General Description:

The Senior Data Engineer plays a critical leadership role within the Information Technology organization partnering closely with data and analytics leadership to design build and evolve scalable reliable and secure data platforms that support enterprise analytics reporting and advanced data initiatives. This role is responsible for driving technical standards architectural decisions and best practices across data engineering efforts while ensuring high levels of data availability quality and accessibility across business domains.

The Senior Data Engineer works independently on complex initiatives translates business and analytical requirements into robust technical solutions and serves as a technical mentor to other data engineers and analysts. This position contributes significantly to data platform modernization data product development and the enablement of self-service analytics AI/ML and future-state data capabilities.

Essential Duties and Responsibilities:

Data Platform Management

Provide senior-level support and ongoing optimization of the Enterprise Data Mesh ensuring accuracy performance scalability and reliability of data pipelines processes and downstream data consumption.

Data Platform Architecture

Lead the architecture design and implementation of scalable on-premises and/or cloud-based enterprise data platforms integrating Guidewire and non-Guidewire data sources to support enterprise analytics and data products.

Advanced Data Integration & Engineering

Design develop and oversee robust ETL/ELT pipelines using modern tools and frameworks such as Microsoft Fabric TimeXtender or Databricks. Establish patterns for ingestion transformation orchestration and monitoring of complex data workflows.

Data Modeling & Technical Architecture

Design and govern optimized data models for structured and semi-structured data supporting reporting analytics operational use cases and AI/ML initiatives. Influence architectural standards and long-term data strategy.

Data Governance Quality & Security

Champion best practices for data governance metadata management data quality lineage and security. Ensure compliance with regulatory and internal standards across all enterprise data assets.

Advanced Analytics Enablement

Enable self-service analytics near-real-time data processing and AI/ML-driven use cases by integrating data lakes lakehouse architectures streaming technologies and modern data storage paradigms.

Collaboration Mentorship & Leadership

Act as a trusted technical partner to IT analytics teams and business stakeholders. Mentor junior data engineers and analysts review designs and code and promote a culture of engineering excellence and data-driven decision-making.

Operational Excellence

Monitor the task queue take and update tickets as directed by your supervisor.
Successfully engage in multiple initiatives simultaneously.
Contributes to the development of project plans and may assign and monitor tasks.
Assist in the development and generation of new reports to be provided to senior management across functional departments.
Performs other duties as required.

Education and / or Experience:

Bachelors or Masters degree in Computer Science Information Systems Data Science or a related field
8 years of progressive experience in data engineering data architecture or related roles preferably within the insurance industry
Strong expertise in Guidewire InsuranceSuite database schemas (PolicyCenter BillingCenter ClaimCenter) is a plus
Proven ability to analyze learn and integrate complex data source models into enterprise data platforms
Hands-on experience implementing cloud-based data platforms in Azure including data lakehouse architectures
Advanced proficiency with modern ETL/ELT tools (e.g. SSIS Azure Data Factory) and database technologies (SQL Server Databricks etc.)
Experience with big data processing streaming technologies (Kafka Spark Flink) and API-driven integrations
Strong understanding of data security compliance and governance best practices (GDPR CCPA SOC 2 etc.)
Familiarity with BI and analytics tools such as Power BI Tableau or Looker
Experience with Data Mesh architecture is a plus
Knowledge of machine learning concepts data pipelines for ML and MLOps is a plus
Familiarity with ticketing systems such as Atlassian Jira
Demonstrated ability to work independently prioritize effectively and deliver high-quality solutions under tight deadlines
Strong organizational skills attention to detail and adaptability in a changing environment
Excellent verbal and written communication skills with the ability to interact professionally with executives managers and technical stakeholders
Proficiency in Microsoft Office (Excel Word PowerPoint)

Licenses and / or Certifications:

Azure Data Engineer Associate or higher preferred.

SENIOR DATA ENGINEER Orlando FL Full-time General Description: The Senior Data Engineer plays a critical leadership role within the Information Technology organization partnering closely with data and analytics leadership to design build and evolve scalable reliable and secure data platforms that s...