# Staff Data Platform Engineer at Certifyos > Remote · India · Staff · Backend · open. Source: https://alderhq.app/jobs/ashby%3Acertifyos%3Adc312473-7dd8-449c-b707-a8c3231bca56 (read 2026-11-06). ## Facts (observed) - Company: [Certifyos](https://alderhq.app/companies/certifyos) - Location text: Bengaluru, India - Where it can be done from (inferred): Remote · India (evidence: "Location lists "bengaluru" and remote") - Posted: 2026-11-05 (1 days ago) - First seen by alder: 2026-11-06 · last verified: 2026-11-06 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/certifyos/dc312473-7dd8-449c-b707-a8c3231bca56 - Skills listed (inferred): Python, PostgreSQL, MySQL, MongoDB, Kafka, AWS, Kubernetes, Docker, Airflow, Snowflake, dbt, Distributed systems ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (India, n 8): p25 ₹20.3L, median ₹55L, p75 ₹82.3L ## Description (the employer's text) ### About CertifyOS CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale. Our vision is simple: One API. One provider ID. Frictionless provider data. We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients. ### About the Role We're hiring a Staff Data Platform Engineer to own the data platform that makes CertifyOS the source of truth for provider data. You'll set the architecture, lead a team of engineers to deliver it, and be accountable for the reliability, freshness, and cost of our data. ### What You’ll Do Lead a team of engineers to deliver data platform initiatives end to end Own data architecture across OLTP, OLAP, and NoSQL stores (Aurora PostgreSQL, Redshift, MongoDB) Design and operate distributed real-time and batch pipelines in Python and PySpark (Kafka, Kinesis, SNS/SQS) Lead entity resolution and MDM architecture for provider data Build and own data products with clear contracts, SLAs, and consumers Be accountable for data reliability, freshness, quality, and cost, with the observability to prove it Drive performance and scale work: profile, benchmark, and re-architect as volume grows Build the data foundations for AI/ML workloads Mentor engineers, raise the bar on design and code review, and partner with product, analytics, and ML Join the on-call rotation and turn incidents into systemic fixes ### What We’re Looking For ### 10+ years building production data systems, including Staff or Tech Lead scope Led a team of engineers to deliver complex data systems Expert Python and production PySpark Deep distributed systems knowledge: consistency, partitioning, idempotency, backpressure, failure handling Significant entity resolution and MDM experience: matching, deduplication, survivorship, golden records at scale Built and owned data products used by other teams Shipped measurable performance and scale improvements Expertise across OLTP (Aurora, PostgreSQL, MySQL), OLAP (Redshift, Athena, Snowflake, ClickHouse), and NoSQL (MongoDB, DynamoDB, Cassandra) Stream processing and event-driven architecture (Kafka, Kinesis, SNS/SQS) Data observability in practice: quality checks, lineage, monitoring, alerting Built data platforms that serve ML workloads Influences technical direction across teams and communicates clearly with non-technical stakeholders Experience handling sensitive data (PII/PHI) Fluent with AI-assisted development (Cursor, Claude Code, MCP) ### Nice to Have Change Data Capture (CDC) patterns Data mesh or data-platform-as-a-product approaches Schema registries or data catalogs Orchestration tools (AWS Glue, EMR, Managed Flink, Airflow/MWAA, dbt) Healthcare or other regulated environments ### Technologies & Tools OLTP: Aurora, RDS PostgreSQL OLAP: Redshift, Athena NoSQL: MongoDB Atlas Streaming: Kafka (MSK), Kinesis, SNS/SQS Python and PySpark AWS, Docker, Kubernetes (EKS) GitHub Actions Sentry and data observability tooling Cursor, Claude Code, Codex ### Benefits of Working at Certify At Certify, we’re building with intention and taking care of the people doing the work. Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Acertifyos%3Adc312473-7dd8-449c-b707-a8c3231bca56 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.