Medtronic · 7 hours ago
Senior Principal Architect - AWS
Los Angeles, CA
Full-time
Onsite
Senior Level, Lead/Staff
$165K/yr - $247K/yr
8+ years expMedtronic is a global leader in healthcare technology, dedicated to championing healthcare access and equity. The Senior Principal Architect - AWS will own the serverless architecture for diabetes data processing and mentor engineers to enhance engineering practices across teams.
Artificial Intelligence (AI)BiotechnologyHealth CareHealth DiagnosticsMedical Device
Responsibilities
Own the end-to-end serverless architecture for ingesting, validating, processing, and storing diabetes data (PHI) from connected devices, mobile apps, and clinical systems
Mentor engineers and elevate engineering practices across teams
Design multi-channel ingestion using AWS serverless patterns: API Gateway + Lambda for app/API traffic, Event-driven workflows with EventBridge, Step Functions, SQS/SNS for decoupling, retries, and DLQs, Streaming pipelines via Kinesis Data Streams/Firehose; define schemas, versioning, and replay strategies, Define processing pipelines in Lambda/Step Functions (and EMR/Spark if needed for large transforms): Normalize, validate, deduplicate, and enrich time-series data (CGM/insulin events), handle clock skew, units, and data quality rules
Implement idempotent handlers, backpressure controls, and at-least/exactly-once semantics where appropriate
Expose secure APIs via API Gateway with OAuth2/OIDC, fine-grained scopes, consent-aware access, and full auditability
Architect storage and data models: DynamoDB for high-throughput operational workloads (session/state, telemetry indexes, consent/access metadata); design keys, GSIs, TTLs, and global tables as needed, Amazon DocumentDB for semi-structured clinical/event documents; define collections, indexes, and consistency/read/write strategies, Amazon Redshift for analytics and longitudinal studies; model distribution/sort keys, data marts, and federated queries (Athena/Redshift Spectrum), Amazon S3 as the data lake (raw/curated zones) with lifecycle policies, compression/columnar formats (Parquet), and Glue Data Catalog for discovery
Implement security, privacy, and compliance by design: PHI safeguards: encryption at rest/in transit (KMS, TLS), least-privilege IAM, VPC isolation, PrivateLink/VPC endpoints, WAF/Shield as applicable
Ensure reliability, observability, and performance: Define SLOs (ingestion latency, freshness) and build resilient, multi-AZ serverless designs with retries, DLQs, and circuit breakers, Instrument metrics/logs/traces (CloudWatch, X-Ray), alarms and runbooks; conduct load/performance and chaos/resilience testing, Optimize cold starts, concurrency, and throughput; apply caching and batching patterns when appropriate
FinOps leadership: Own unit economics (per million messages, per API call, per active device), forecasts, and variance analysis, Tagging/Cost Categories, CUR dashboards (Athena/QuickSight), Budgets/Anomaly Detection, showback/chargeback; service-level cost playbooks (DynamoDB capacity/table class, DocumentDB rightsizing, Lambda power tuning, log retention, NAT/data transfer reductions), and Savings Plans/RI strategy
Qualification
Required
Requires a Baccalaureate degree and minimum of 10 years of relevant experience OR Master's degree with a minimum of 8 years relevant experience OR PhD with 6 years relevant experience
Preferred
Design multi-channel ingestion using AWS serverless patterns: API Gateway + Lambda for app/API traffic
Event-driven workflows with EventBridge, Step Functions, SQS/SNS for decoupling, retries, and DLQs
Streaming pipelines via Kinesis Data Streams/Firehose; define schemas, versioning, and replay strategies
Define processing pipelines in Lambda/Step Functions (and EMR/Spark if needed for large transforms): Normalize, validate, deduplicate, and enrich time-series data (CGM/insulin events), handle clock skew, units, and data quality rules
Implement idempotent handlers, backpressure controls, and at-least/exactly-once semantics where appropriate
Expose secure APIs via API Gateway with OAuth2/OIDC, fine-grained scopes, consent-aware access, and full auditability
Architect storage and data models: DynamoDB for high-throughput operational workloads (session/state, telemetry indexes, consent/access metadata); design keys, GSIs, TTLs, and global tables as needed
Amazon DocumentDB for semi-structured clinical/event documents; define collections, indexes, and consistency/read/write strategies
Amazon Redshift for analytics and longitudinal studies; model distribution/sort keys, data marts, and federated queries (Athena/Redshift Spectrum)
Amazon S3 as the data lake (raw/curated zones) with lifecycle policies, compression/columnar formats (Parquet), and Glue Data Catalog for discovery
Implement security, privacy, and compliance by design: PHI safeguards: encryption at rest/in transit (KMS, TLS), least-privilege IAM, VPC isolation, PrivateLink/VPC endpoints, WAF/Shield as applicable
Secrets and key management (Secrets Manager/KMS), rotation policies, and tamper-evident audit trails (CloudTrail, Config)
Ensure reliability, observability, and performance: Define SLOs (ingestion latency, freshness) and build resilient, multi-AZ serverless designs with retries, DLQs, and circuit breakers
Instrument metrics/logs/traces (CloudWatch, X-Ray), alarms and runbooks; conduct load/performance and chaos/resilience testing
Optimize cold starts, concurrency, and throughput; apply caching and batching patterns when appropriate
FinOps leadership: Own unit economics (per million messages, per API call, per active device), forecasts, and variance analysis
Tagging/Cost Categories, CUR dashboards (Athena/QuickSight), Budgets/Anomaly Detection, showback/chargeback; service-level cost playbooks (DynamoDB capacity/table class, DocumentDB rightsizing
Lambda power tuning, log retention, NAT/data transfer reductions), and Savings Plans/RI strategy
Benefits
Health, Dental and vision insurance
Health Savings Account
Healthcare Flexible Spending Account
Life insurance
Long-term disability leave
Dependent daycare spending account
Tuition assistance/reimbursement
Simple Steps (global well-being program)
Incentive plans
401(k) plan plus employer contribution and match
Short-term disability
Paid time off
Paid holidays
Employee Stock Purchase Plan
Employee Assistance Program
Non-qualified Retirement Plan Supplement (subject to IRS earning minimums)
Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums)
Company
Medtronic
Medtronic is a healthcare technology company that designs and develops AI-based products and solutions for the medical industry.
10001+ employees
H1B Sponsorship
Medtronic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (349)
2024 (387)
2023 (291)
2022 (310)
2021 (300)
2020 (261)
Funding
Current Stage
Public CompanyTotal Funding
$18.16BKey Investors
NHS EnglandBlackstone Life SciencesTrade Capital Funding
2025-09-15Post Ipo Debt· $1.76B
2024-05-29Post Ipo Debt· $3.24B
2023-03-23Post Ipo Debt· $2B
Leadership Team
Geoffrey Martha
CEO
Linnea Burman
SVP & President, Neurovascular
Recent News
Business Standard India
2025-12-29
2025-12-27
Company data provided by crunchbase