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Data Architectural Specialist
2 weeks ago
About Our Mission:
We are dedicated to making nutritious food accessible and affordable for everyone, regardless of economic status. We strive to create a culture that is passionate, supportive, and driven by a shared purpose.
Job Role:
The Senior Data Engineer plays a critical role in constructing and optimizing data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities. They design, build, and maintain highly scalable data pipelines, optimize data delivery, and automate data processes.
Responsibilities:
- Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
- Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.
- Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
- Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment.
- Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.
- Mentor junior engineers, provide technical guidance, and influence broader data platform strategy.
Requirements:
- 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
- Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
- Advanced SQL skills and strong experience with relational and columnar database systems.
- Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi).
- Solid programming background (Python, Scala, or Java) for data processing and automation.
- Experience designing data models and schemas for both operational and analytical use cases.
- Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments.
- Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred).
Benefits:
This role offers the opportunity to work with a talented team, contribute to cutting-edge projects, and grow professionally in a dynamic environment.
