Senior Data Architect

Position

Senior Data Architect (Contract)

Experienced in healthcare payer business processes and regulatory requirements.

Remote

We are seeking an experienced Senior Data Architect to lead the design and implementation of enterprise data solutions that enable advanced analytics and AI-driven innovation. This role will focus on building scalable, secure, and high-performing data architectures leveraging Snowflake, AWS cloud services, and modern strategies for making data AI‑ready.

• Data Architecture & Strategy
  • Define and maintain enterprise data architecture standards, frameworks, and best practices.
  • Design and implement data models for transactional, analytical, and AI-driven systems.
  • Develop strategies for data integration, governance, and security across multiple platforms.
• Cloud & Platform Expertise
  • Architect and optimize data solutions on AWS leveraging services such as S3, Redshift, Glue, Lambda, and EMR.
  • Implement and manage Snowflake for data warehousing, ensuring performance, scalability, and cost optimization.
• AI/ML Data Enablement
  • Design data pipelines and architectures to make data available for AI/ML workloads, including feature stores, training datasets, and inference-ready data layers.
  • Implement data quality, lineage, and metadata management to ensure trusted and compliant AI datasets.
  • Collaborate with data scientists and ML engineers to ensure data readiness for model training and deployment.
  • Establish data versioning and reproducibility practices for AI experiments.
• Healthcare Domain Focus
  • Build data solutions that support healthcare payer operations, including claims processing, enrollment, provider networks, and regulatory compliance.
  • Ensure adherence to HIPAA and other healthcare data privacy and security standards.
• Collaboration & Leadership
  • Partner with business stakeholders, data engineers, and analytics teams to translate business requirements into technical solutions.
  • Provide technical leadership and mentorship to junior architects and engineers.

• Education:
  
  Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• Experience
  • 8+ years in data architecture or related roles.
  • Proven experience with Snowflake (data modeling, performance tuning, security).
  • Strong hands‑on experience with AWS cloud services for data engineering and analytics.
  • Deep understanding of Healthcare payer business processes and regulatory requirements.
  • Demonstrated experience in making data available for AI/ML, including feature engineering, data pipelines, and integration with ML platforms.
• Skills
  • Expertise in SQL, data modeling, and ETL/ELT design.
  • Familiarity with modern data integration tools and frameworks.
  • Strong knowledge of data governance, security, and compliance standards.

• Experience with data Lakehouse architectures and real-time streaming (Kafka, Kinesis).
• Knowledge of BI tools (Tableau, Power BI) and advanced analytics platforms.
• Certification in AWS and/or Snowflake.
• Exposure to ML Ops and AI lifecycle management tools.

• Excellent communication and stakeholder management skills.
• Ability to work in a fast‑paced, agile environment.
• Strong problem‑solving and analytical thinking.

Regards!
Bobby Sharma, Talent Acquisition Lead, Sapear Inc.
Email:
Cell:  Ext 105
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