Job Description
About the Role
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Our client is seeking an experienced Senior Data Engineer to help strengthen its enterprise data infrastructure, business intelligence capabilities, and advanced analytics initiatives. This individual will serve as a key liaison between business stakeholders and technical teams, transforming complex data into actionable insights that support strategic decision-making.
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The ideal candidate brings strong expertise in SQL, Snowflake, and Tableau, along with experience in data integration, data modeling, and enterprise reporting. This role offers the opportunity to work cross-functionally, enhance data quality, and contribute to the development of an AI-ready data platform.
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Key Responsibilities
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- Business Intelligence & Analytics: Design, develop, and maintain executive dashboards, reports, and KPI scorecards using Tableau and Snowflake, translating complex business requirements into actionable insights.
- Data Engineering & Integration: Develop and optimize SQL queries, stored procedures, and data transformations while supporting ETL/ELT pipelines across multiple data sources and enterprise systems.
- Data Quality & Governance: Establish and maintain data validation processes, reconciliation reporting, standardized business metrics, and documentation to ensure accuracy, consistency, and reliability.
- AI & Advanced Analytics: Support the development of semantic data models and AI-enabled analytics capabilities, improving data accessibility, reporting accuracy, and business intelligence.
- Cross-Functional Collaboration: Partner with Finance, Sales, Operations, Product, and Engineering teams to identify reporting needs, troubleshoot data challenges, automate processes, and deliver scalable data solutions.
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Requirements
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- 7+ years of experience in data engineering, business intelligence, analytics engineering, or a related field, with a strong background in enterprise data environments.
- Advanced SQL expertise, including complex queries, views, stored procedures, data transformations, performance optimization, and relational database concepts.
- Hands-on experience with Snowflake or a comparable cloud data warehouse, along with proficiency in Tableau or similar business intelligence and visualization tools.
- Strong understanding of ETL/ELT processes, data modeling, and modern data architectures, with exposure to technologies such as PostgreSQL, SQL Server, Salesforce, AWS, and API integrations.
- Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across technical and nontechnical teams. Familiarity with Python, Git, Agile methodologies, and AI-driven analytics is a plus.
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