
Data Architecture Leader
8 hours ago
Job Description
As a Senior Data Engineer, you will play a critical role in constructing and optimizing our data pipeline architecture. You will collaborate closely with data scientists and analysts to facilitate data-related functionalities, design, build, and maintain highly scalable data pipelines, optimize data delivery, and automate data processes.
Key Responsibilities
- Lead the optimization and scalability of data delivery pipelines to ensure 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
- A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence.
- Quality-oriented, with a strong sense of ownership over data reliability and accessibility.
- Experienced in applying secure, compliant data handling practices in regulated environments.
- Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels.
- An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale.
Preferred Qualifications
- 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).
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