Senior Software Engineer I, Data Platform

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

As a Senior Software Engineer on our Data Platform team, you'll have the opportunity to own and evolve our core data pipelines that power the enrichment of company and people data in our CRM. You'll be responsible for understanding, optimizing, and scaling the systems that create our core entities, associate enrichment data, and fan out processed information to our tenanted customers.

In this role, you will:

• Become the deep expert in our data processing pipelines, lead the technical design of critical data initiatives, and be an active code contributor during execution phases.
• Evaluate existing data processing systems to understand current workflows and identify optimization opportunities around reliability, performance, and scalability
• Own the evolution of our core entity creation and resolution systems for company and people records, ensuring accurate deduplication and association logic.
• Ensure our data pipelines are architecturally consistent, adaptable and extensible according to changing business needs and growing data volumes.
• Collaborate across team boundaries to align on and coordinate changes, as this team manages data models that have critical touchpoints upstream and downstream.
• Research and propose new technologies that drive the team's critical data processing systems while considering performance, scalability, and reliability implications.
• Own the end-to-end quality of the data that is surfaced to customers through modern evaluation techniques and measurement

Qualifications:

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your past experience doesn't perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• You have ~5+ years of experience in software engineering with demonstrated experience in data processing, ETL pipelines, or similar data-intensive systems.
• You have experience with data modeling, entity resolution, and record linkage, including multi-system resolution strategies across relational and non-relational data stores.
• You have experience with relational databases query tuning and working effectively with ORMs in high-throughput, data-rich applications.
• You're experienced in one or more OOP languages and modern OOD.
• You're comfortable troubleshooting across caching, queuing, load-balancing, storage, and distributed services layers, particularly as they relate to data processing workflows.
• You can diagnose and improve high-volume data performance issues systematically.
• You can effectively contribute to technical strategy and roadmaps on product-oriented teams, particularly around data architecture decisions.
• You communicate nuanced ideas clearly, whether you're explaining complex data processing decisions in writing or brainstorming pipeline optimizations in real-time.
• You demonstrate strong ownership instincts and sweat the details, especially critical when dealing with data quality and accuracy.
• You're excited to work on a cross-functional team, partnering with product stakeholders, other engineering teams, and data subject matter experts.

Nice to have:

• Experience with event-driven architecture and Kafka for real-time data processing.
• Experience with data pipeline orchestration tools and frameworks.
• A combination of startup and brand-name SaaS companies experience, particularly with data-heavy products.
• Experience with Python or Ruby

Tech stack:

Our platform is built with React and TypeScript on the front end, with Ruby and PostgreSQL on the back end. We're leaning into event-driven architecture using Kafka. Our infrastructure is hosted by AWS and runs on Kubernetes. Our Data stack is mainly on AWS which enables technologies such as Spark, Python, Kubernetes, Kafka, Databricks, Sagemaker.

How we work:

Our culture is a key part of how we operate, as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer an RRSP plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $113,000 to $160,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.