Description

You will design and manage enterprise-scale data architectures, data warehouses, and data lakes to support advanced analytics and reporting.

Responsibilities

• Develop and maintain enterprise data models, data warehouses, and data lakes.
• Design and model data for cloud-based solutions using Snowflake as the primary platform.
• Architect and design ETL pipelines using Informatica tools.
• Lead and manage advanced analytics projects and technical teams.
• Integrate emerging technologies including AI, machine learning, and big data analytics.
• Collaborate with data engineers, developers, and analysts to ensure data accessibility.

Required Skills

• 10+ years of experience in data architecture, data modeling, and data warehousing.
• Proficiency in SQL and various database technologies.
• Experience with cloud platforms including Azure, AWS, or Google Cloud Platform.
• Hands-on experience developing, deploying, and managing applications and data storage in the cloud.
• Experience with ETL tools, data integration platforms, and APIs.
• Expertise in managing cloud infrastructure, security, and cloud-based storage options.
• Proven experience with big data solutions and advanced analytics tools.
• Ability to explain complex technical concepts to non-technical audiences.

Preferred Skills

• Hands-on expertise in Python and/or Java/Scala.
• Experience with healthcare data standards such as FHIR, CCDA, and HL-7.
• Knowledge of EHR integration, APIs, and real-time streaming.
• Experience with hybrid cloud deployments and on-premise-to-cloud migrations.
• TOGAF or Cloud Solution Architecture certifications (Azure, AWS, or GCP).

Key Skills

Education

Any Gradute