Description
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.
Requirements
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:
oData modeling
oQuery tuning and execution plans
oIndexing strategies
oPartitioning techniques
oPerformance 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:
oLambda
oS3
oSNS/SQS
oDynamoDB
oIAM
oVPC
oInfrastructure 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.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 03930-0013486854
- Posted 14 days ago
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