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Jobs(31,341)/Data Engineer Role(453)/Kobie Marketing (3) - Sr. Data Engineer
Kobie Marketing

Kobie Marketing - Sr. Data Engineer

Remote - USA2mo ago
RemoteSeniorNAArtificial IntelligenceData AnalyticsData EngineerSQLPythonJavaScriptSnowflakeTeam LeadershipKafkaVaultReportingAlchemyDocumentationQlik

Requirements

• 6+ years of Data Engineering experience designing and operating production grade data pipelines. • 3+ years of hands-on Snowflake experience as a primary data warehousing solution, with deep fluency across data sharing, data clean rooms, marketplace, and Snowpark. • Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting. • Demonstrated CI/CD experience using GitHub and GitHub Actions • Experience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar) • Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and transaction fact tables. • Experience integrating a wide range of data sources, including APIs, messaging systems, and streaming platforms. • Solid grounding in OLTP, Data Vault, and data warehouse architecture patterns, with the ability to assess source systems and translate business requirements into dimensional models. • Experience designing event-driven architectures and understanding how they shape data pipeline design. • Familiarity with domain-driven design concepts and how application architecture changes flow downstream into the warehouse. • Comfort working independently across concurrent projects in an Agile environment, with strong communication to non-technical data stakeholders. • Strongly Preferred • Prior experience in a terabyte-scale, multi-client data warehouse environment, you've worked at this kind of scale before and know what it demands. • Experience with data replication tool Qlik Replicate, preferred • Familiarity with Apache NiFi or comparable data flow orchestration tools, preferred • Exposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine learning use cases. • Who we are As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. • A place for all We celebrate and embrace diversity at Kobie! • Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. • We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. • Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities

• Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day. • Translate client loyalty program requirements into production-ready data warehouse structures — from source system analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables and extracts that downstream reporting and client services teams depend on. • Diagnosing and resolve data pipeline failures quickly enough that clients and internal stakeholders rarely notice they happened by bringing the debugging fluency and Snowflake depth to contain impact and prevent recurrence. • Build a data architecture that can absorb change by redesigning Kobie's data mart to support an incoming event-driven, domain-driven application layer without breaking the operational foundation already in production. • Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building the models, but by building the reliable, well-governed platform that Kobie's innovation team needs to produce them. • Leave every pipeline more trustworthy than you found it, through automated testing, audit logging, CI/CD discipline, and documentation that makes the platform easier for the next engineer to own.

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