Sr System Analyst - Data Activation Engineer,...

• 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.

• 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