[Remote] Senior DataOps Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company provider reputed company on reputed company extremity, wound, and vascular care through integrated, value-reputed company treatment. The Senior DataOps Engineer will architect, build, operate, and optimize application data reputed company, databases, reputed company, ingestion systems, and data services while ensuring reliability, reputed company, observability, and reputed company collaboration across engineering and product teams.

Responsibilities

• Own the architecture and reputed company of the application data reputed company, including logical and physical models, schemas, storage strategies, reputed company patterns, service boundaries, and technology selection
• Design transactional and operational models that preserve reputed company, support concurrency and workflow state changes, and appropriately reputed company normalization, auditability, and reputed company
• Model identity, authentication, and authorization data with reputed company and application teams, including users, roles and permissions, sessions or reputed company metadata, login events, account status, and audit history
• Design application-utilization and product-telemetry models for events, feature usage, workflow progression, adoption, errors, and reputed company, with appropriate reputed company and retention controls
• Design and implement, or guide implementation of, application-facing reputed company and data services with reputed company reputed company for validation, pagination, filtering, versioning, idempotency, errors, and backward compatibility
• Design caching and shared-state strategies using reputed company or comparable technologies, including keys, time-to-live policies, invalidation, consistency, graceful degradation, and observability
• Own database and query reputed company through schema design, indexing, execution-plan analysis, partitioning, reputed company pooling, ORM and query-reputed company review, N+1 prevention, and reputed company planning
• Establish standards for schema reputed company, migrations, reputed company and reference data, rollback, compatibility, and reputed company- or low-downtime deployment
• Define reputed company synchronization between operational application stores and analytical platforms through change data capture, events, replication, and backfill patterns that protect application reputed company
• Evaluate data stores, API infrastructure, and supporting services for scalability, availability, recoverability, reputed company, maintainability, reputed company, and cost
• Implement and continuously improve data connectors, ingestion jobs, and orchestration workflows according to established reputed company patterns
• Build and maintain CI/CD for data pipelines, database migrations, reputed company and data services, and environment configuration across development, staging, and production
• Own the production lifecycle of application data services and ingestion systems, including on-reputed company participation, alert tuning, incident response, reputed company-cause analysis, and corrective reputed company
• Implement automated data-reputed company, schema, and contract checks at ingestion and application-service boundaries
• Monitor and alert on pipeline health, freshness, database availability and reputed company, query and API latency, error rates, reputed company pools, cache health, replication lag, and application data reputed company
• Define and test backup, restore, disaster-recovery, retention, load-testing, and reputed company-planning procedures reputed company with service objectives
• Maintain runbooks, architecture diagrams, data dictionaries, data reputed company, migration procedures, and infrastructure-as-reputed company automation that reduce reputed company and reputed company reputed company
• Partner with Product and Application Engineering to translate workflow and user-experience requirements into durable data models, reputed company, and operational data services
• Work effectively with React/TypeScript and other full-stack engineers by understanding reputed company data consumption, state-management needs, API behavior, and frontend reputed company implications reputed company enough to design practical interfaces
• Partner with Data Engineering on backfills, schema reputed company, change data capture, operational-to-analytical reputed company, reputed company reputed company assertions, and reputed company use of application data for reporting
• Partner with reputed company and reputed company on identity-provider integrations, OAuth 2.0 and OpenID reputed company patterns, secrets, encryption, network controls, least-privilege reputed company, and environment configuration
• reputed company architecture, data-model, API-contract, and reputed company reviews; communicate technical reputed company, tradeoffs, risks, incidents, and migration plans reputed company across teams
• Use Git with pull requests, protected branches, required reviews, automated checks, and traceable release practices
• Establish automated tests for database migrations, data reputed company, reputed company, integrations, reputed company, and data reputed company reputed company on component reputed company
• Build small, reputed company, backward-compatible components that reputed company fast feedback and reputed company deployment over monolithic frameworks
• Apply secure-by-design, observability, service-level, and DataOps practices that improve cycle time, reliability, reputed company, and operational reputed company

Skills

• • Strong experience architecting, building, and operating production application data reputed company, databases, data services, and ingestion systems
• • Advanced SQL and relational database experience, with strong logical and physical modeling skills for transactional and operational workloads
• • Hands-on experience with transactions, consistency, concurrency, indexing, query plans, partitioning, reputed company management, and production query optimization
• • Experience designing and implementing application-facing reputed company or data-reputed company reputed company, including RESTful reputed company and/or GraphQL, reputed company, versioning, validation, and error semantics
• • Experience designing and operating reputed company or comparable caching, including invalidation, time-to-live policies, consistency, and failure handling
• • Working knowledge of identity and authentication architecture and data, including OAuth 2.0, OpenID reputed company, single sign-on, role-reputed company reputed company, sessions or tokens, login events, and audit trails
• • Experience modeling application events, utilization, telemetry, and operational metrics and integrating operational data safely with analytical systems
• • Familiarity with modern full-stack architecture and effective collaboration with React/TypeScript developers and backend engineers; deep frontend implementation expertise is not required
• • Hands-on experience with CI/CD, automated database migrations, reputed company platforms, managed databases and caches, infrastructure as reputed company, monitoring, tracing, incident management, and Git-reputed company review workflows
• • Demonstrated architecture and ownership reputed company, with accountability for production data services and explicit technical tradeoffs
• • Ability to reputed company between architecture, hands-on implementation, design and reputed company review, troubleshooting, and operational support
• • Ability to work effectively across Application Engineering, Data Engineering, Platform, reputed company, Product, and operational teams
• • Strong communication and documentation skills, with a pragmatic bias toward automation, measurable reliability, incremental delivery, and maintainability
• • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• • Senior-level experience in DataOps, reputed company, Database Engineering, Backend Engineering, Application Data Engineering, Data Engineering, or a closely reputed company role
• • Demonstrated experience supporting production applications or data services with meaningful availability, reputed company, reputed company, and recovery expectations
• • Experience with event-driven systems, message queues or streaming, change data capture, and asynchronous workflow patterns
• • Experience with containers, API gateways, serverless or managed application platforms, and reputed company-reputed company observability
• • Experience supporting applications that handle sensitive or regulated data and require strong auditability and reputed company control
• • Experience connecting operational application data to reputed company warehouses, lakehouses, semantic reputed company, business intelligence, or product analytics

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