Part Time for Architect
Softermii
AWSCloudGraphQLJavaScriptNext.jsRayReact
Job Level
Senior
Tech Stack
Amazon RedshiftAWSCloud
About the role
- Lead data platform on AWS with emphasis on healthcare data, data lake strategy, and AI enablement; architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.
- Strategic Data Platform Leadership: Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI /ML readiness, and regulatory compliance.
- Lead evolution of AWS-based data lake architecture with structured, semi-structured, and unstructured data and FHIR JSON.
- Cloud Data Lake & Storage Optimization: Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation. Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files. Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.
- AI /ML Enablement and Vector Infrastructure: Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures. Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access. Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.
- Healthcare Data Architecture & Interoperability: Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources. Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics. Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.
- Security, Compliance & Governance: Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies. Implement and manage data access controls, audit logging, and role-based security models across AWS environments. Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.
- Team Leadership & Cross-Functional Collaboration: Build and lead a high-performing team of data architects and engineers. Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives. Promote data literacy and foster a culture of innovation and continuous improvement.
Requirements
- Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
- 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.
- Proven experience architecting AWS-based data lakes and analytics pipelines.
- Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.
- Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.
- Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.
- Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).
- Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).
- Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.
- Experience in clinical systems integration, claims processing, or population health analytics.
