Data Developer

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Where is the work:

We are looking for a Data Developer with deep, hands-on Azure data expertise to own and evolve the data foundation of our enterprise telematics SaaS platform. Our platform manages approximately 200,000 connected transport refrigeration units (TRUs) generating millions of telemetry events per day — alarms, sensor readings, engine state, geolocation, and operational metrics — flowing through a cloud-native IoT pipeline built on Azure.

You will be responsible for the full data lifecycle: high-throughput ingestion from IoT devices, transformation and enrichment, storage strategy across Cosmos DB and Azure Data Explorer, relational data modeling in Azure SQL, analytics delivery, and pipeline reliability. This is a hands-on, high-impact role with direct influence over platform architecture, working closely with backend engineering, architecture, product, and leadership.

You must be able to operate independently, take full ownership of the data platform, and bring proven experience building scalable, reliable, cost-optimized data solutions on Azure.

Key Responsibilities

Data Platform Architecture & Development

• Own the design and evolution of the platform's end-to-end data architecture across Cosmos DB
  , Azure Data Explorer (ADX),
  Azure SQL, and Fabric
  .
• Architect and optimize Cosmos DB for high-throughput IoT workloads: partition key strategy, indexing policy, schema design, TTL configuration, RU/s throughput tuning, and change feed utilization.
• Build and manage ADX clusters: ingestion pipelines (Event Hub ingestion, ingestion mappings, update policies), KQL query optimization, retention and caching policy tuning, and materialized views for analytics.
• Design and manage Azure SQL schemas, stored procedures, and ETL jobs supporting relational reporting and operational data needs.
• Architect data flow across the hot path (Event Hubs → real-time processing), warm path (Cosmos DB operational queries), and cold/analytics path (ADX long-term telemetry retention and aggregation).
• Build and maintain ingestion pipelines using Azure Functions
  , Event Hubs
  , and Service Bus
  .

ETL / ELT & Data Transformation

• Design and implement high-throughput ingestion pipelines processing millions of IoT device events per day, including telemetry, alarms, lifecycle events, and geospatial data.
• Build transformation and enrichment logic in C#/.NET,
  Python, and/or py Spark integrated with Azure Functions and Event Hub triggered pipelines.
• Implement data quality, validation, deduplication, and anomaly detection within ingestion pipelines.
• Apply CI/CD practices for data pipeline deployment using Git Hub Actions or Azure Dev Ops
  .
• Design and maintain ADX update policies and Cosmos DB change feed processors for downstream data propagation.

Data Modeling & Storage Strategy

• Design scalable, queryable data models for time-series telemetry, alarm events, geospatial lookups (H3 hexagonal indexing), and fleet/asset metadata.
• Imp…