Software Architect, Data Platform

Our client is seeking a Software Architect, Data Platform to lead the design, integrity, and scalability of a high-volume data platform. This is a hands-on architecture and engineering leadership role focused on solving complex data challenges, including telemetry ingestion, data accuracy, system reconciliation, and large-scale platform reliability.

The ideal candidate is a data-first architect with deep expertise in relational database design, SQL performance optimization, and data correctness who has expanded into cloud-native application architecture and engineering leadership.

• Key Responsibilities
• Own the architecture, quality, and integrity of the organization's data platform.
• Design and optimize relational and time-series data models supporting high-volume telemetry data.
• Lead a distributed engineering team while driving best practices in code quality, testing, observability, and operational excellence.
• Establish technical architecture direction across backend services, data products, and customer-facing applications.
• Develop and maintain production-grade backend services using modern cloud technologies.
• Evaluate technology, storage, and build-versus-buy decisions based on scalability, reliability, maintainability, and cost.
• Lead technical design efforts for new platform capabilities, integrations, and data-driven products.
• Partner closely with business and technology stakeholders to translate requirements into scalable technical solutions.
• Mentor engineers and foster a culture of technical excellence.
• Required Qualifications
• Data & Database Expertise
• Strong experience designing and optimizing relational database solutions in environments such as PostgreSQL, SQL Server, Oracle, or MySQL.
• Expertise with:
• Data modeling
• Query tuning and execution plans
• Indexing strategies
• Partitioning techniques
• Performance optimization
• Experience validating and reconciling data against external source systems to ensure accuracy and consistency.
• Knowledge of high-volume operational or time-series data environments.
• Strong understanding of data pipeline reliability, including idempotency, retry handling, monitoring, and incident response.
• Architecture & Engineering Leadership
• 3+ years of experience in a senior technical leadership role such as Architect, Staff Engineer, Principal Engineer, or Engineering Lead.
• Proven experience mentoring engineers and leading distributed teams.
• Strong track record of making architecture decisions and guiding technical direction.
• Experience driving engineering quality standards and operational maturity.
• Cloud & Application Development
• 5+ years of experience building production backend, platform, cloud, or data systems.
• Strong experience with AWS, including:
• Lambda
• S3
• SNS/SQS
• DynamoDB
• IAM
• VPC
• Infrastructure as Code (CloudFormation/CDK)
• Hands-on experience developing backend services in TypeScript/Node.js or similar technologies.
• Ability to review and evaluate modern frontend architectures built with React or Next.js.
• Preferred Qualifications
• PostgreSQL and TimescaleDB experience.
• Experience with time-series databases such as InfluxDB or ClickHouse.
• IoT, telemetry, utility, water, energy, or sensor-driven platforms.
• Experience with data lakes and analytics tools such as Athena, Glue, and Parquet.
• Knowledge of Docker, ECS/Fargate, ECR, and CI/CD pipelines.
• Background in anomaly detection, signal processing, or advanced analytics.