Data Engineer, MDM
About Semarchy Semarchy was founded in 2011 in Lyon, France, by a team of passionate data experts with a clear mission: modernizing master data management. Over the years, we've expanded our capabilities into Data Management, Integration, and Intelligence, building a unified design experience that accelerates revenue growth, modernizes workflows, and boosts enterprise AI initiatives. Headquartered in Arizona, USA, with global offices across France, the UK, and India, Semarchy serves over 400 clients worldwide, including Fortune 500 leaders. Trusted by industry innovators, our adaptive, modular approach helps organizations achieve data-driven success in as fast as 12 weeks.
About the Role
To meet growing customer demand, Semarchy is embedding a dedicated Data Engineering capability into our Technical Delivery team. You'll design and build the pipelines that power client implementations — ingestion, transformation, streaming, and orchestration — turning raw data into the operational backbone of our customers' daily business systems. You'll work directly with customer teams through implementation and stay engaged post-go-live for optimization and expansion. This is a delivery role with clear boundaries. Reporting into Professional Services, you'll partner closely with Solutions Architects (who own the overall implementation architecture), Solutions Engineers (who own Semarchy configuration), and Project Managers (who own the delivery timeline) — the pipelines are yours. It's built for an engineer who likes variety in the work: one engagement might mean moving data from legacy systems into the Semarchy Data Platform, the next designing streaming ingestion or writing complex SQL to reconcile operational and analytical data. What You'll Bring5+ years in a hands-on data engineering, ETL development, or data delivery role in enterprise environments. Strong hands-on experience with an enterprise ETL or data integration platform (e.g., Semarchy xDI, Talend, Informatica, Matillion, dbt) — process design, data mapping, and reusable integration patterns. Production experience with a streaming or event-driven platform (e.g., Kafka). Production experience with a workflow orchestration tool (e.g., Apache Airflow) for scheduling, dependencies, and monitoring. Comfortable deploying and operating workloads in containerized environments (e.g., Kubernetes). Advanced SQL — production-grade queries for extraction, transformation, reconciliation, and troubleshooting, across major RDBMS or cloud data warehouses (e.g., PostgreSQL, Snowflake, Databricks). Working knowledge of data architecture, data modeling, and data warehousing patterns. Comfortable in customer-facing delivery — able to run a discovery workshop, present a technical recommendation, explain trade-offs to non-experts, and write clean documentation. Familiarity with master data management concepts (matching, survivorship, hierarchies), or a demonstrated ability to build that knowledge quickly. Nice to HaveDirect Semarchy experience (xDM, SDP, xDI, Snowflake Native App). Prior experience at a Big 4, systems integrator, or specialized data consultancy. Certifications in cloud data platforms (Snowflake, AWS, Azure, GCP, Databricks) or streaming/containerization technologies. Experience in a regulated or data-intensive industry (financial services, healthcare and life sciences, retail, manufacturing). Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical discipline. What You'll OwnFull-Lifecycle Pipeline Delivery: Own the pipeline workstream through the full implementation lifecycle — discovery, design, build, test, cutover, and stabilization. Pipeline Design & Build: Design and build the data pipelines that move information into and out of the Semarchy platform, using Semarchy xDI and adjacent data integration tooling as needed. Configure batch, near-real-time, and streaming integration patterns to fit each customer's data landscape and cadence requirements. SQL, Data Modeling & Data Quality: Own the SQL, data modeling, and data quality work that supports pipeline reliability, reconciliation, and downstream consumption. Customer Collaboration & Troubleshooting: Collaborate with customers to understand their data requirements, translate them into practical solutions, and communicate progress, risk, and dependencies clearly. Troubleshoot and resolve integration issues, coordinating with Support, Product, and Engineering as needed. Scoping Support: Provide input into effort estimation and technical scoping on prospective engagements. Practice Building: Contribute to Semarchy's implementation methodology, templates, and reference architectures for pipeline design. Identify opportunities to productize common data engineering patterns and reduce time-to-value for future customers. Stay current with data integration trends and tools, and bring relevant ones into Semarchy's delivery practice. We are committed to making Semarchy an even better place to work, and this means creating a high performing environment where everyone can do their Best Work, where they can Grow in their career path, and Be Accountable – to each other and Semarchy. *For those applicants in the CA, CO and NYC area, the salary range for this role is $100-140K base plus variable incentive. The salary offered will be based on experience, role, and location. Semarchy is proud to be an equal opportunity employer (EEO) that celebrates difference and diversity. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We are committed to building an inclusive work environment where all employees feel a sense of belonging and respect. If there is anything we can do to ensure you have a comfortable and positive interview experience, please let us know.