Senior Data Engineer

ARTC is supporting their client in sourcing an innovative Senior Data Engineer to join their Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy. Beyond just managing tickets or building pipelines, you will take full ownership of the data ecosystem. You will play a pivotal role in supporting our AI/ML initiatives , managing the modern data stack while simultaneously answering critical business questions to ensure data accessibility, reliability, and scalability. Role requires some travel.

DUTIES AND RESPONSIBILITIES:

Key Responsibilities:

• Ecosystem Ownership \& Strategy

Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack to prevent downtime before it impacts stakeholders

• Business-First Data Modeling: Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models that make self-service easy in platforms like PowerBI, Tableau, and Sigma
• Documentation \& Governance: Maintain comprehensive documentation of all data engineering processes to enable stakeholder self-service, following the industry’s best practice

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• Engineering \& Execution
• Infrastructure Development: Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows
• Performance Tuning: Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring queries are efficient and scalable
• Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems

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• Analytics Translation \& Collaboration
• Bridge the Gap: Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements
• Support AI/ML: Create models that specifically enhance Analytics and AI/ML projects

Required Qualifications:

• 5\+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure
• Technical "Ninja" Skills: Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI)
• Pipeline Architecture: Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT
• Business Intuition: Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders
• Visualization Proficiency: Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools
• Masters degree in engineering or analytics
• Cloud \& Big Data: Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake
• Leadership: Proven experience in leading data engineering projects and integrating data from multiple sources
• Small Team Experience: You have worked in small teams driving innovative solutions and thrive in agile environments

EEO Policy:

Allied Resources complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Allied Resources does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status or other status protected by law