
Staff Engineer, Data
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Establish and lead the long-term vision, roadmap, and design standards for data architecture within Renew Home's virtual power plant ecosystem.
• Oversee fault-tolerant batch and real-time streaming data infrastructure that processes data from millions of interconnected devices.
• Work in collaboration with application and analytics engineering teams on data architecture and its delivery.
• Manage database architecture and ensure continuous performance optimization across PostgreSQL Aurora, AWS Redshift, and various query engines.
• Define technical standards for the development, monitoring, quality, and uptime of data pipelines.
• Lead infrastructure management and support operations through participation in the on-call rotation.
• Mentor and support senior and mid-level data engineers.
• Advocate for engineering best practices, conduct architectural design reviews, and promote technical growth.
• Assess, prototype, and integrate contemporary data technologies and frameworks.
• A minimum of 10 years of experience in software and data engineering.
• Demonstrated success in architectural leadership at scale.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field with equivalent practical experience.
• Proven experience in designing, building, and managing production-quality high-volume batch and real-time data streaming architectures.
• Familiarity with GCP PubSub, AWS Kinesis, AWS Lambda, Apache Kafka, and Apache Flink.
• Expertise in scalable data lake architectures utilizing AWS S3, Iceberg, AWS Glue, and Delta Lake.
• Proficiency in database design, performance tuning, query optimization, indexing, and partitioning in AWS Redshift and PostgreSQL Aurora.
• Mastery of Python and SQL programming languages.
• Strong understanding of software engineering principles, CI/CD processes, and Infrastructure as Code practices using Terraform, CDKTF, and AWS CDK.
• Capability to mentor engineering talent and foster cross-functional collaboration.
• Candidates must be authorized to work in the United States without requiring current or future visa sponsorship.
• Bonus: Experience in optimizing enterprise-scale data warehouses and advanced Redshift functionalities.
• Bonus: Experience with Apache Spark, Ray, or complete machine learning pipelines.
• Bonus: Contributions to open-source data ecosystems or possession of advanced certifications.
• Target annual bonus of 15% of base salary.
• Participation in long-term incentive programs linked to company growth and performance.
• Fully remote work environment.
• Allowance for home office set-up.
• No pre-set limits on vacation time.
• Generous parental leave benefits.
• Competitive health and wellness benefits.
• 401(k) plan with employer contributions.
• Opportunities for learning and professional development.
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