Engineering Manager (Remote US)

We’re hiring a Engineering Manager Data Engineering to drive our Data Engineering team’s people projects and processes forward. At Openly our growth has put an emphasis on building and maintaining a robust scalable data platform to ensure teams can access high-quality data efficiently. Our data engineering function is responsible for designing and maintaining data pipelines data architectures and data infrastructure while working closely with data science business intelligence and product teams to enable data-driven decision-making across the organization.

As the Engineering Manager of the Data Engineering Team you will provide technical leadership and influence decisions about data architecture data pipeline strategies and technical processes. You will drive our data engineering culture manage and mentor a diverse group of data engineers and work strategically across teams to ensure our data platform evolves with business needs. While this is primarily a leadership role this position will also have the capacity to pick up technical work during periods of high demand demonstrating technical credibility with the team and staying connected to the evolution of our data systems.

• Manage support and mentor a diverse group of data engineers
• Partner with the Principal Engineers and engineering leadership to guide the data architecture scalability and evolution of our data platform
• Work closely with data science business intelligence and product teams to align data solutions with business objectives balancing technical investments with business priorities
• Identify resolve or escalate roadblocks and risks that threaten team deliverables and goals seeking additional context or direction when needed
• Drive each team member toward their career goals through clear milestones transparent feedback and a culture of open communication that sets them up for success
• Translating data concepts and requirements into architecture decisions and technical implementation strategies
• Provide technical input on data pipeline design data modeling and technology selections
• Contribute hands-on technical work during peak periods to support the team and maintain technical credibility
• Establish best practices for data pipeline architecture data quality and performance optimization
• Runs cross functional working groups to deliver on larger company objectives
• Participate in domain standups weekly 1:1s team collaborations biweekly demos and biweekly retros
• Share your knowledge within the data engineering team and with others in the company (e.g. engineering all-hands engineering learning hour domain meetings)
• Partner closely with the management team HR and Recruiting to attract recruit and develop a diverse team of high-quality data engineers

• Backend/Core: Go & PostgreSQL
• Frontend: Browser-based VueJS Webpack Nuxt & Tailwind
• Research/Data Science: R VertexAI Hex & Python
• Data: GCP GCS BigQuery Composer/Airflow Cloud Functions PostgreSQL SQL Python Aiven Debezium and Kafka Fivetran
• Infrastructure: Google Cloud (Cloud Run Kubernetes Pub/Sub BigQuery CloudSQL) managed with Terraform. GitHub for code hosting DataDog for monitoring CircleCI for CI/CD pipelines Remote work tools: Slack Zoom

If you don’t think you meet all of the criteria below but still are interested in the job please apply. Nobody checks every box and we’re looking for someone excited to join the team.

• 5+ years of data engineering and data platform development experience including 3+ years of engineering management or technical leadership in a data/infrastructure/operations environment
• Deep experience with data infrastructure components including data lakes and lakehouses (e.g. Iceberg) data warehouses (e.g. Snowflake BigQuery) online and offline data stores and both batch and real-time streaming systems
• Proven hands-on expertise designing and maintaining scalable secure and cost-efficient data platforms and pipeline architectures — including schema design data modeling partitioning data replication staging transformation and movement — aligned to business goals and objectives
• Comfortable working with modern data and infrastructure technologies such as Spark Flink Kafka Airflow Kubernetes and similar tools
• Experience with Google Cloud data technologies (BigQuery Cloud Composer GCS etc.) or similar cloud data platforms
• Infrastructure as Code (IaC) experience with Terraform to define manage and version cloud data infrastructure
• Proficiency in Python or similar languages (e.g. Java Scala) with strong SQL skills and performance tuning for analytical workloads
• Understanding of data governance security and compliance best practices (e.g. RBAC PII handling auditability) with experience designing systems that meet regulatory and internal standards
• Demonstrated ability to understand data requirements translate them into source-to-target data mappings and build scalable solutions
• Experience guiding and mentoring a diverse group of engineers while balancing their growth with business requirements
• Highly autonomous with the ability to prioritize and work through ambiguity
• Ability to effectively communicate technical and strategic concepts to diverse audiences
• Experience or familiarity with agile methodologies and strong organizational skills

What We Do

Openly is proud to offer innovative comprehensive homeowners insurance wrapped in modern convenience. We arm agents with the tools necessary to serve up a world class customer experience.

Why Work With Us

As a diverse and inclusive team we honor our legal and ethical obligation -regardless of who's watching- as we strive to understand others' perspectives. We're always asking questions so we can make a positive impact and solve problems efficiently. Breaking industry barriers and setting new standards requires comfort in ambiguity. #OpenlyLife

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