Principal Software Engineer, Data Platform
Seattle, WA
Engineering – Engineering /
Full-time/Remote /
Hybrid
Magnify is the next-generation automation platform for the post-sales experience-- we grow revenue and reduce churn for software companies without adding headcount. Magnify identifies and orchestrates the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale.
Magnify uses machine learning along with a sophisticated orchestration engine to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is massive and untapped by current solutions.
Magnify's customers are enterprise software companies, usually used by the Chief Customer Officers and their organizations and/or the Growth Marketing teams.
Magnify is a fast-moving startup backed by top-tier investors including Madrona and Decibel, with a veteran leadership team.
The role
Our Data Platform is critical to delivering value for our customers: it enables us to rapidly build high quality experiences and surface unique, actionable insights. We are looking for a principal software engineer to join our Data Platform team and lead its architectural design and implementation.
In this role, you will be responsible for:
* Designing and implementing data integration, warehousing, and processing systems, including driving our technical strategies enabling deep bidirectional integrations with a breadth of external services such as Salesforce, Pendo, Gainsight, Marketo, and more.
* Defining data schemas, specifications, and interfaces to reduce complexity and ease consumption of data.
* Establishing and managing AWS-hosted data infrastructure.
* Building internal services and external APIs to solve user needs and create value from our data.
* Mentoring other members of the engineering team.
This role is remote eligible for candidates within 3 hours of Pacific time zone (UTC-8).
Qualifications and Experience
Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.
* Bachelors in Computer Science or related field.
* 7+ years of experience working as a software engineer and building data intensive applications in a high growth, startup environment.
* Extensive familiarity configuring, operating, and using some combination of: relational and non-relational data stores (e.g. Postgres, Redis, Pinot, DynamoDB, Redshift, Snowflake); event stream and processing (e.g. Kafka, Flink); data integration and transformation tools (e.g. Stitch, Airbyte, Meltano, dbt); data serialization (e.g. Parquet, Avro, Iceberg); distributed and event driven architectures (e.g. Lambda, serverless, Temporal).
* Advanced proficiency with Typescript/Javascript, Python, or an equivalent language.
* Experience with cloud native environments and Amazon Web Services.
* Demonstrated success leading and delivering complex software projects with limited oversight in a distributed environment.
* Passionate about delivering for users and collaborating with teammates.
* Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.
Magnify is a values driven culture, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.
Magnify is a values driven culture, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.
