Senior Data Engineer

Job Description

About the Role

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.

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.

Key Responsibilities

• 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.

Requirements

• 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.