BrightAI · 3 hours ago
Data Platform Engineer
BrightAI is a high-growth company transforming how businesses operate by integrating AI, IoT, and cloud-native services into scalable, real-time platforms. As a Platform Data Engineer, you will build and maintain the data infrastructure that powers the company's products and services while collaborating with cross-functional teams to manage large streams of data.
Artificial Intelligence (AI)Cloud ComputingInternet of ThingsMobile
Responsibilities
Design, build, and maintain scalable, reliable, and high-throughput data ingestion pipelines for structured and semi-structured data
Implement robust and secure data lake and SQL-based storage architectures optimized for performance and cost
Develop and maintain internal tools and frameworks for data ingestion using Python, Golang, and SQL
Collaborate cross-functionally with Cloud, Edge, Product, and AI teams to define data contracts, schemas, and retention policies
Use AWS cloud infrastructure (including Argo Workflows, S3, Lambda, Glue, Kinesis, Athena, and RDS) to support end-to-end data workflows
Employ Infrastructure-as-Code (IaC) practices using Terraform to manage data platform infrastructure
Monitor data pipelines for quality, latency, and failures using tools such as CloudWatch, SumoLogic, or DataDog
Continuously optimize storage, partitioning, and query performance across large-scale datasets
Participate in architecture reviews and ensure the platform adheres to security, compliance, and best practice standards
Qualification
Required
5+ years of professional experience in software engineering or data engineering
Strong programming skills in Python and Golang
Deep understanding of SQL and modern data lake architectures (e.g., using Parquet, Iceberg, or Delta Lake)
Hands-on experience with AWS services including but not limited to: S3, Lambda, Glue, Kinesis, Athena, and RDS
Proficiency with Terraform for automating infrastructure deployment and management
Experience working with real-time or batch data ingestion at scale, and designing fault-tolerant ETL/ELT pipelines
Familiarity with event-driven architectures and messaging systems like Kafka or Kinesis
Strong debugging and optimization skills across cloud, network, and application layers
Excellent collaboration, communication, and documentation skills
Preferred
Experience working with time-series or IoT sensor data at industrial scale
Familiarity with analytics tools and data warehouse integration (e.g., Redshift, Snowflake)
Exposure to gRPC and protobuf-based data contracts
Experience supporting ML pipelines and feature stores
Working knowledge of Kubernetes concepts
Prior startup experience and/or comfort working in fast-paced, iterative environments
Company
BrightAI
BrightAI provides physical AI solutions for infrastructure and services.
Funding
Current Stage
Growth StageTotal Funding
$66MKey Investors
Upfront Ventures
2025-07-18Series A· $51M
2024-11-19Seed· $15M
Recent News
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2025-07-22
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