Affinity builds infrastructure to power the relationship-driven economy. Our core CRM product underpins thousands of the world’s largest financial, professional services, and corporate institutions - including Softbank, MassMutual, a16z, Fidelity, Nike, and Tiger Global. We’ve achieved this by solving some of the hardest problems in data and AI combined with great design: from our sync engine to daily-usage interfaces, Affinity structures millions of new contacts and billions of communications every year into insights that power relationship-driven teams in 80+ countries. We want to change the way everyone cultivates and harnesses their network, and are looking for a world-class leader to help us engineer that vision to life.

As Director of Data Engineering, you will be responsible for several areas of Affinity’s technology stack and vision that are vital to our future success. These include our data ingestion pipeline, search stack, machine learning infrastructure, and other related tooling. We are looking for a Director or Senior Director of Data Engineering that values career development, mentorship and will support the team as we scale.

What you’ll be doing:

• Work with the product organization and company leadership to create a vision for how to best leverage technology to help our customers get access to the data they need in a way that is valuable, flexible, and user-friendly.
• Build Affinity’s core data ingestion pipeline, which will ingest data on organizations and people from a wide variety of 3rd party data sources. Data then needs to be cleaned and matched to our existing internal data.
• Build out and manage Affinity’s search stack.
• Build out relationship intelligence tools to help our customers leverage the value of their existing relationships and understand how to best grow their networks to meet their goals.

Qualifications:

Don't meet every single requirement? Studies have shown that women and people of color are likely to only apply for jobs if 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 experience doesn't perfectly align with the qualifications above, we encourage you to apply anyways. You may be the right candidate for this or other roles.

• You have 10+ years of experience in software engineering, including extensive experience building, coaching, and leading high-performing engineering teams.
• Experience managing managers.
• You’ve set up and managed data pipelines to ingest 3rd party data, clean and normalize it, and use machine learning techniques to match it to existing internal data.
• We’re currently using Databricks, so some familiarity with that would be nice, but isn’t required. Knowledge of similar tools (Snowflake, Redshift, BigQuery, etc.) is also totally fine.
• You’re familiar with basic search ranking techniques and algorithms. You’ve managed an elastic search and/or AWS OpenSearch cluster.
• You’re comfortable with machine learning QA/evaluation tools and techniques.
• You know your way around a Jupyter Notebook.

What you’ll enjoy at Affinity:

• We live our values as playmakers, obsessed with learning, care personally about our colleagues and clients, are radically open-minded, and take pride in everything we do.
• Health Care coverage and flexible personal & sick days. We want our team to be happy and healthy :)
• We provide an annual budget for you to spend on education and offer a comprehensive L&D program – after all, one of our core values is that we’re #obsessedwithlearning! 
• We support our employee’s overall health and well-being and reimburse monthly for things such as; Transportation, Home Internet, Meals, and Wellness memberships/equipment.
• Virtual team building and socials. Keeping people connected is essential.

Please note that the role compensation details below reflect the base salary only and do not include any variable pay, 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 $154,000 to $232,000 CAD. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training.