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We're looking for a Senior Cloud Engineer who will be responsible for building and supporting governed data pipelines from enterprise source systems into Master Data Management and downstream endpoints, including APIs, data warehouse, data streams, reporting platforms, and AI-enabled use cases. This role combines data engineering, integration engineering, disciplined software delivery, and strong cross-functional communication. The successful candidate will build reliable, scalable, and maintainable data flows while clearly communicating technical decisions, risks, trade-offs, timelines, and support needs to application, data, infrastructure, DevOps, analytics, and product teams.
Job Responsibility
Design, build, and maintain production-grade data pipelines from source systems to MDM and downstream platforms
Support batch, near-real-time, streaming, CDC, API-based, and database replication data movement patterns
Deliver governed data to Snowflake, APIs, Solace streams, reporting layers, operational applications, and AI-enabled workflows
Build and maintain data models, transformations, and curated data sets using Microsoft SQL, Snowflake, and DBT
Work with business and data stakeholders to support golden records, reference data, entity resolution, data quality rules, and system-of-record definitions
Implement validation, reconciliation, lineage, documentation, and auditability controls for critical data flows
Support integration and delivery patterns using SnapLogic, Debezium, Solace, Gravitee, and related platforms
Develop and package data engineering solutions for Docker, Kubernetes, and GreenLake-based environments
Prepare releases for handoff to the infrastructure DevOps team, including release notes, deployment instructions, rollback considerations, and validation steps
Provide Tier 2 support for data pipeline, integration, and data delivery issues escalated from operations or support teams
Investigate production issues related to data flows, identify root causes, recommend fixes, and support resolution with infrastructure DevOps
Apply disciplined SDLC practices, including requirements, design, development, testing, code review, release management, documentation, and support handoff
Requirements
5+ years experience as a Data Engineer, Integration Engineer, or similar role
Proven experience building and supporting enterprise data pipelines
Strong expertise with Microsoft SQL Server and modern data platforms (Snowflake preferred)
Experience with data transformation and modeling tools such as DBT
Working knowledge of integration, API, CDC, and event-streaming patterns
Experience with Docker and exposure to Kubernetes-based environments
Strong understanding of SDLC, Git workflows, and testing practices
Ability to troubleshoot complex data pipeline, integration, and data quality issues
Strong communication skills, with the ability to explain technical issues, decisions, risks, and trade-offs clearly to business, application, data, infrastructure, DevOps, analytics, and product stakeholders
Technical Judgment: Selects the right data solutions based on performance, scalability, and business needs
Data Stewardship: Maintains data integrity, quality, and trust across systems
Operational Discipline: Builds sustainable, supportable, and scalable data solutions
Cross-Functional Communication: Effectively translates technical concepts across teams
AI-Augmented Engineering: Leverages AI tools responsibly while maintaining high standards of quality and ownership
Nice to have
Experience with Master Data Management, data governance, data quality, lineage, and data contracts
Experience designing data products for APIs, reporting, analytics, operational systems, and AI-enabled workflows
Familiarity with schema versioning, backward compatibility, access control, privacy, security, and auditability
Experience supporting data platforms in enterprise, regulated, or operationally complex environments
Exposure to tools such as SnapLogic, Debezium, Solace, and Gravitee
What we offer
Supportive team that provides coaching and training to help develop your skills and progress your career
Dispersed work environments that promote a healthy work-life balance
Meaningful and impactful work and projects with an essential service provider
Engaging Wellness Program & extracurricular sports teams