Senior Technical Architect
1 day ago
About DataZymes:
Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments. Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving non-linear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.
Job Description
Role Overview
As a Senior Architect, you will own the end-to-end technical architecture of our data-intensive, customer-deployable products. You will lead by example in defining standards, driving architectural decisions, ensuring scalability and compliance, and enabling engineering excellence. You'll collaborate closely with product, data science, and engineering teams to translate business needs into robust technical solutions.
Key Responsibilities
Architect and design scalable, secure, and high-performance data products for Life Sciences clients.
Lead product engineering initiatives — from design to deployment — ensuring adherence to best practices in software architecture and cloud-native development.
Define and enforce coding, security, and deployment standards aligned with industry and regulatory compliance (e.g., GxP, HIPAA).
Evaluate and integrate modern technologies such as AI/ML, data engineering platforms, and microservices architectures.
Mentor and guide junior engineers and architects, fostering a strong culture of technical excellence and innovation.
Collaborate cross-functionally with Product Management, QA, and DevOps to ensure seamless product delivery and continuous improvement.
Review architecture blueprints and code to ensure maintainability, performance, and scalability.
Stay ahead of emerging tech trends and recommend their adoption to strengthen our product ecosystem.
Requirements
Required Skills & Experience
10–15 years of hands-on experience in
enterprise or product development
, with at least 5 years in an
architectural leadership
role.Strong expertise in
data-intensive systems
,
distributed architectures
,
microservices
, and
API-first design
.Proven experience with
cloud platforms
(AWS, Azure, or GCP) and
container orchestration
(Docker, Kubernetes).Deep understanding of
data engineering frameworks
(Spark, Databricks, Snowflake, Kafka, etc.).Experience with
DevSecOps
,
CI/CD pipelines
, and modern
software development practices
.Strong understanding of
security, compliance, and data privacy frameworks
(HIPAA, SOC2, GDPR).Proficiency in at least one major programming language (Python, Java, or ).
Prior experience building
customer-deployable SaaS or hybrid products
preferred.Exposure to
Life Sciences / Healthcare data domains
is a strong plus.Excellent problem-solving, communication, and team leadership skills.
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