A pioneer in K-12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our captivating core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products turn data into practical instructional support to help students at every skill level build a strong foundation in early reading and math. Our programs provide teachers with powerful tools that help them understand and respond to the needs of all their students. Today, Amplify serves five million students in all 50 states.

Amplify is creating a ground-breaking digital curriculum that brings together world-class academics, engaging digital media, and data analytics to change the way teachers teach and students learn. Our digital curriculum empowers teachers to offer more personalized instruction, allowing students to become more active, engaged learners.

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 and happiness of our students and teachers.

What You'll Do:

• 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 trade offs, 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.
  

• BS or MS in Computer Science, Data Science, or equivalent
  
• 5+ years of professional software development or data engineering experience
  
• Proven ability to architect and implement efficient data models and optimize high throughput data pipelines
  

• Proven fluency in SQL and a development language such as Python
  

• Strong CS and data engineering fundamentals, and the wisdom to know when they're relevant
  
• 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)
  
• Strong communication skills in writing and conversation
  
• Familiarity with agile product development methodologies.
  

• Experience with tools we use every day:
  
  • Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)
    
  • ETL/BI: Matillion, Looker
    
  • Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform
    
• Experience with tools we don't use, but should, and the wisdom to know when to recommend them
  
• Interested in teaching fellow engineers and non-engineers
  
• Experience with encryption at rest, including multiple approaches and tradeoffs
  
• Enthusiasm for building and learning: open source contributions, pet projects, self-education, Stack Overflow
  
• Experience in education or ed-tech