Senior Database Engineer

Job Description

Job Description

Company Description

IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support.  With ICyte, Life Sciences innovators are digitalizing labor-intensive processes – freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.

We are headquartered in Philadelphia, PA (USA), with offices in : Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit  www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.

Job Description

​​​​​​Join our DevOps Engineering team as a Senior Database Engineer responsible for designing, optimizing, and automating cloud database solutions across AWS RDS, Postgres, and Snowflake. This role focuses on performance engineering, data integration, and automation ensuring our data platforms are scalable, reliable, and efficient. You’ll work closely with DevOps and Product Engineering to build high-performing data infrastructure that supports critical applications and analytics.

Key Responsibilities :

Modern Data Architecture & Platform Engineering

• Design, build, and optimize database solutions using Snowflake, PostgreSQL, and Oracle RDS.
• Design and evolve cloud-native data lakehouse architectures using Snowflake, AWS, and open data formats where appropriate.
• Implement and manage Medallion Architecture (Bronze / Silver / Gold) patterns to support raw ingestion, curated analytics, and business-ready datasets.
• Build and optimize hybrid data platforms spanning operational databases (PostgreSQL / RDS) and analytical systems (Snowflake).
• Develop and maintain semantic layers and analytics models to enable consistent, reusable metrics across BI, analytics, and AI use cases.
• Engineer efficient data models, ETL / ELT pipelines, and query performance tuning for analytical and transactional workloads.
• Implement replication, partitioning, and data lifecycle management to enhance scalability and resilience.
• Manage schema evolution, data versioning, and change management in multienvironment deployments

Advanced Data Pipelines & Orchestration

AI-Enabled Data Engineering

Automation, DevOps & Infrastructure as Code

Security, Governance & Compliance

Qualifications

What Success Looks Like Within the First 90 Days :

Ongoing Outcomes :

Bonus Experience (Nice to Have)

Additional Information

What does IntegriChain have to offer?

#LI-ZG1

IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.

Our policy on visa sponsorship for US based positions : Applicants for employment in the US must have valid work authorization that does not now and / or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain.