IT Data Platform Data Engineer (2 Openings)

Essential Duties And Responsibilities

• Leads the design, development, and maintenance of automated data pipelines for ingesting, transforming, and storing complex structured and unstructured data from multiple evolving sources
• Drives collaboration with BTS and business leadership to architect reliable, scalable enterprise data solutions supporting analytics, reporting, and AI use cases
• Architects, builds, and oversees data integration processes, ETL/ELT workflows, and orchestration frameworks to ensure availability, performance, and resilience
• Establishes and enforces data quality, completeness, accuracy, and timeliness through advanced validation, proactive monitoring, and remediation processes
• Defines and implements sophisticated data models and structures optimized for enterprise analytics and advanced analysis
• Guides strategy for cloud and on-premises data platforms, including data lakes, data warehouses, and next-generation analytics environments
• Leads and mentors data analysts, data scientists, and junior engineers in feature engineering and model readiness
• Develops and governs metadata management, lineage, and documentation standards while driving adoption across the enterprise
• Owns compliance with data security, privacy, and regulatory requirements in alignment with enterprise policies
• Led performance tuning, capacity planning, and optimization efforts for data pipelines and data storage
• Oversees platform health and proactively resolves complex, systemic data pipeline issues
• Authors and maintains advanced data engineering designs, standards, and operational procedures
• Exercises expert judgment in evaluating technical options, balancing cost, performance, scalability, security, and maintainability
• Identifies and drives innovation opportunities to modernize and expand enterprise data platforms

Competencies

• Expert understanding of enterprise data architecture, integration patterns, and large scale data platforms
• Mastery of SQL and expert proficiency in Python, data modeling, and data integration tools
• Diagnoses and resolves complex data flows, system dependencies, and platform level issues
• Evaluates technical solutions strategically, considering long term scalability, cost, performance, and risk
• Champions innovation, challenges assumptions, and leads adoption of emerging technologies
• Leads and influences across matrixed organizations, driving consensus and alignment
• Defines, institutionalizes, and enforces engineering standards, best practices, and architectural guidelines
• Communicates persuasively with technical teams and executive audiences
• Interprets complex technical and business documentation and converts it into actionable engineering plans
• Rapidly acquires, unlearns, and instills advanced tools, frameworks, and engineering methodologies
• Builds trust with internal partners and cross functional teams through credibility and technical authority

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, with seven to nine years of progressively responsible experience in data engineering, data integration, or analytics platforms, or an equivalent combination of advanced education and experience
• A master's degree or specialized certifications preferred