Senior Data Engineer

• Partner with Product, Engineering, Marketing, Finance, HR, Sales, and Data Stewards to define and implement enterprise data strategies and governance frameworks.
• Configure and optimize Reltio’s platform to support evolving business and product requirements.
• Design and implement integrations across enterprise systems using modern cloud technologies (AWS, GCP, Azure).
• Build and maintain data pipelines and process flows ensuring data accuracy, integrity, and reliability.
• Translate business requirements into scalable data models and system designs.
• Drive data quality initiatives, including monitoring, cleansing, deduplication, and anomaly detection.
• Develop automation workflows to improve operational efficiency and reduce manual intervention.
• Create interactive dashboards and visualizations to communicate insights to stakeholders.
• Support AI-driven initiatives by preparing high-quality datasets and exploring use cases involving machine learning, anomaly detection, and contextual intelligence.
• Continuously evaluate emerging technologies in AI, automation, and data engineering to enhance product and operational capabilities.

Required Qualifications

• 4+ years of programming, analysis, or systems design experience using Python, or similar languages.
• Strong SQL and database experience.
• Experience working with JSON and REST APIs.
• Hands-on experience with data integrations and ETL tools (e.g., Workato, MuleSoft, Talend).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with cloud data warehouses (e.g., BigQuery) and BI tools (Looker, Tableau, Qlik, Data Studio).
• Ability to design and implement automation solutions to improve efficiency.
• Strong understanding of enterprise data workflows and governance principles.
• Excellent cross-functional communication and stakeholder management skills.
• BS in Computer Science, Data Science, Engineering, or equivalent experience.