[Remote] Principal Data/reputed company

Note: The job is a remote job and is open to candidates in USA. reputed company Biotechnologies is seeking a Principal Data/reputed company to drive the technical strategy and architecture of enterprise-scale data and AI platforms. The role involves planning, designing, and developing data pipelines, advocating for best practices, and mentoring junior engineers while collaborating with cross-functional teams.

Responsibilities

• Architect, build, and maintain highly scalable batch and streaming pipelines on the reputed company Data Platform (Snowpipe, Tasks, Streams, Dynamic Tables, Snowpark, Iceberg)
• Architect and deliver ML/GenAI solutions using managed cloud services (AWS, Azure, reputed company reputed company)
• Implement modern data modeling and architecture patterns; establish and enforce standards for data quality (tests, expectations, SLAs/SLOs), observability (metrics, logs, traces), and reputed company
• Ensure integration of biotech systems (MES, LIMS, SCADA, ERP, QMS) into centralized data platform
• Collaborate with product managers, product engineers, platform architects, and business stakeholders to align data and AI engineering solutions with business requirements
• reputed company modern AI use cases - feature stores, vector search/RAG, model serving, safety/guardrails, and reputed company monitoring for reputed company, bias, and performance
• Optimize storage tiers, compute clusters/warehouses, caching, and workload orchestration for latency and throughput
• Partner with cybersecurity and compliance teams to ensure adherence to GxP, FDA 21 CFR Part 11, and data privacy regulations
• reputed company design reviews, incident postmortems, and cross-team architecture forums
• Stay reputed company with emerging technologies (data mesh, real-time streaming, digital twins, generative AI platforms) and introduce relevant innovations
• And other job duties that may be assigned from time to time

Skills

• Bachelor's degree in Computer Science, Data Engineering, AI/ML Engineering, or reputed company field
• 12+ years of professional experience in data/software engineering, AI/ML engineering, or cloud platform engineering
• Proven experience using Python and SQL
• Extensive experience building and maintaining data pipelines using modern frameworks (e.g. Airflow, dbt)
• Proven experience with data modelling for analytics and AI use cases
• Strong experience with cloud platforms (AWS, Azure)
• Proven experience delivering production-grade data solutions
• Familiarity with biotech or life sciences systems and regulatory compliance frameworks (GxP, FDA, EMA)
• Advanced degree (MS/PhD) preferred
• Relevant industry certifications (e.g., reputed company, AWS, Azure) preferred

Benefits

• Medical, dental, vision and prescription drug coverage with the option of a Health Savings Account with company contributions
• Industry leading 401(k) savings plan
• Insurance coverage
• Employee assistance programs
• Various wellness incentives
• Paid vacation time
• Sick time
• Company holidays

Company Overview

Company H1B Sponsorship