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Emerging Data Platform Technologies Architect

164 000 - 213 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Emerging Data Platform Technologies Architect (AWS/GCP/Snowflake): Designing and implementing scalable, secure cloud-native data platforms for analytics, AI/ML, and real-time processing with an accent on data engineering, governance, regulatory compliance, and platform reliability. Focus on building ETL pipelines and MLOps workflows, optimizing data ingestion and query performance, and ensuring data quality across biopharma R&D, clinical, commercial, and regulatory systems.

Location: Hybrid role based out of the Bridgewater, New Jersey office, with in-person collaboration two days a week; remote work is available.

Salary: $164,000–$213,000 annual

Company

hirify.global is a global biopharmaceutical company developing treatments for patients with serious and rare diseases.

What you will do

  • Design, implement, and optimize scalable, secure, cloud-native data platforms using AWS, GCP, and Snowflake.
  • Lead data engineering development, including ETL workflows and data pipeline frameworks with Qlik Talend, Python, SQL, AWS, and GCP services.
  • Develop AI/ML capabilities, ML Ops workflows, serverless architectures, and containerized solutions using Docker and Kubernetes.
  • Establish data governance, quality, lineage, metadata management, cataloging, monitoring, and observability practices.
  • Optimize data ingestion, transformations, query performance, workload management, and automated data reconciliation.
  • Define technology roadmaps and collaborate with business stakeholders and managed services to deliver data solutions for R&D, clinical, commercial analytics, and regulatory needs.

Requirements

  • Bachelor’s degree in science, business, or technology and 10+ years of experience in data architecture, cloud computing, and data engineering.
  • Expertise in Snowflake, Talend, Qlik, AWS, GCP, and modern data engineering tools.
  • Strong experience with ETL, data lakes, data warehousing, streaming architectures, SQL, Python, Spark, and cloud-native analytics services.
  • Experience in biopharma, life sciences, or healthcare, with knowledge of regulatory compliance including HIPAA, GxP, and GDPR.
  • Understanding of AI/ML integration and MLOps, plus the ability to communicate technical concepts to technical and non-technical stakeholders.

Nice to have

  • Snowflake, Talend, or GCP Professional Data Engineer certification.
  • Experience with Veeva CRM or Salesforce Health Cloud.
  • Experience with Qlik Sense or similar data visualization tools.

Culture & Benefits

  • Medical, dental, vision, and mental health coverage, plus annual wellbeing reimbursement and an Employee Assistance Program.
  • Paid time off, fertility and family-forming benefits, caregiver support, and flexible work schedules.
  • 401(k) with company match, annual equity awards, ESPP, and company-paid life and disability insurance.
  • Learning programs, LinkedIn Learning access, workshops, leadership development, mentorship, and networking opportunities.
  • Employee resource groups, service and recognition programs, and opportunities to volunteer and give back.

Hiring process

  • Applications are accepted for five calendar days from the posting date or until the position is filled.

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