Sr System Analyst - Data Activation Engineer, Enterprise Data & Analytics

Required Education/Experience Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 2 years relevant full time work experience or Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 3 years relevant full-time work experience

Relevant Work Experience Hands-on experience designing and building data integration pipelines across batch, streaming, API, and change data capture patterns, with one or more of: Azure Data Factory, SSIS, Google Cloud data integration services (Dataflow, Dataform, Data Transfer Service, gcloud CLI), or comparable tooling, required Strong background in source to target mapping, schema design, and writing technical specifications that engineers and analysts can both work from, required Working knowledge of modern data platforms and integration tooling, with the judgment to match the right pattern to the right use case, required Track record of partnering across solution engineers, source system owners, and business SMEs to turn fuzzy requirements into reliable, production-grade data delivery, required Practical understanding of data sensitivity, classification, and handling requirements, including how to apply controls for protected or regulated data, preferred Experience defining and operationalizing data contracts, including schema versioning, ownership boundaries, and quality expectations between teams, preferred Proven ability to implement monitoring and observability on data pipelines, covering freshness, completeness, schema drift, and failure alerting, preferred

Skills and Abilities Strong written and verbal communication skills

Possesses flexibility to work in a fast paced, dynamic environment Ability to work within tight timeframes and meet strict deadlines Demonstrated problem solving skills Effective interpersonal skills Ability to drive multiple projects to successful completion Demonstrated time management and priority setting skills Ability to drive multiple projects to successful completion Well organized, detail oriented and flexible to handle multiple assignments

Licenses and Certifications Driver's License Required Other: Technical certification(s) in IT Preferred Other: Google Professional Data Engineer Preferred Other: Google Associate Data Practitioner Preferred Other: Databricks Associate Data Engineer Preferred Other: Databricks Professional Data Engineer Preferred

Physical Demands Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

Additional Physical Demands The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Available to work off hours as operationally required