Data Engineering Manager (100% Remote From Anywhere)

We are looking for a hardworking and passionate Data Engineering Manager who wants to be a leader within a technology team where every engineer is responsible for the quality of our product.

• Technical leadership: Collaboratively guide your team to innovative and appropriate architectures and tech stacks.
• Technical leadership: Foster strong technical practices (data modeling, data ingestion, data integration, data platform) within your team
• Execution: Work with internal and external partners to ensure your team builds reusable and reliable data models and pipelines using the right tools and making that data available through BI tools or system integrations.
• Execution: Take responsibility for successful delivery against quarterly OKRs, including leading your team in establishing standard methodologies in estimation, requirements analysis, balancing tradeoffs, and executing against commitments.
• Communication and Collaboration: Work closely with business, product, engineering teams, and others, modeling multi-functional collaboration.
• Strategy: Collaborate with business, product and tech leadership to drive business, product, and technical strategy and goals for your team.
• People management: Provide technical leadership, career development, coaching, and mentoring for engineers.

Skills/Qualifications                                                                                                                                       

• BS or MS in Computer Science, Data Science, or equivalent
• Proven ability to architect and implement efficient data models and optimize high throughput data pipelines.
• Strong knowledge of SQL, of datastores and their tradeoffs (including relational, columnar, and document stores), data modeling, data structures, data manipulation.
• Strong knowledge of ETL/ELT pipeline design, tooling, and support
• Experience deploying production systems in the cloud (AWS, GCP, Azure)
• Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)
• Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform