Affinity stitches together billions of data points from massive datasets to
create a powerful, accurate representation of the world's professional
relationship graph. Based on this data, we offer our users the insights and
visibility they need to nurture and tap into their team's network of
opportunities.
This role is part of the AI Insights team, which owns the services that power
Affinity's industry-leading relationship intelligence platform. Our team
extracts and retrieves information from billions of structured and unstructured
data points to deliver insights to our customers.
As a Senior Software Engineer, Data, you will collaborate with machine learning
engineers, software engineers, and product managers to shape the future of
private capital's leading CRM platform. This involves designing and building
scalable, efficient event streaming processing pipelines and batch processing
pipelines to transform and load data into distributed data storage. You will
play a key role in enhancing our frameworks to monitor data quality, safeguard
data security, and implement best practices.
What you’ll be doing:
- Design scalable and reliable data pipelines to consume, integrate and analyze
large volumes of complex data from different sources, supporting the evolving
needs of our business.
- Help define our data roadmap. You'll collaborate with our team of machine
learning engineers, software engineers, product, and business leaders to
shape product development.
- Build and maintain frameworks for measuring and monitoring data quality and
integrity.
- Establish and optimize CI/CD processes, test frameworks, and
infrastructure-as-code tooling.
- Build and implement robust data-intensive applications over distributed
systems.
- Articulate the trade-offs of different approaches to building data pipelines
and storage solutions, providing clear recommendations aligned with product
and business requirements.
Qualifications:
Don’t meet every single requirement? Studies have shown that women and people of
color are less likely to apply for 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.
Required:
- 5+ years of experience as a Software Engineer or Data Engineer with at least
2-3 years in a Senior Engineering role, leading complex, and sometimes
ambiguous, engineering projects across team boundaries.
- Proficiency in event streaming and batch processing pipelines for
data-intensive applications is essential.
- Proven hands-on experience with scalable and robust distributed data systems
using Kafka, AWS SQS or similar technologies.
- Comfortable working with large datasets and high-scale data ingestion,
transformation, and distributed processing tools such as Apache Spark.
- Strong proficiency in SQL.
- Experience with cloud platforms such as AWS, Databricks, GCP, Azure or
related technologies.
- Familiar with CI/CD processes and test frameworks.
- Comfortable partnering with product and machine learning teams on large,
strategic data projects.
Nice to have:
- Hands-on experience with both relational and non-relational database/data
stores, including vector databases (e.g. Weaviate, Milvus), graph databases,
and text search engines (e.g. OpenSearch or Vespa clusters), with a focus on
indexing and query optimization.
- Familiar with industry-standard databases and analytics technologies,
including Data Lake and Lakehouse.
- Experience with Infrastructure as Code (IaC) tools, such as Terraform.
- Experience implementing data consistency measures using validation and
monitoring tools.
Tech Stack: Our Data stack includes tools to build data pipelines between AWS
RDS and DBX via scheduled batch jobs and streaming syncing. Spark SQL and MLlib
for large-scale data processing in DBX. We also build data pipelines between RDS
and other search-optimized engines, such as openSearch. In-house data quality
tools and governance tools to ensure data quality, security and compliance.
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
[https://www.affinity.co/company/careers/job?gh_jid=6657701003].
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 $140,000 to $200,000 CAD. Within
the range, individual pay depends on various factors including geographical
location and review of experience, knowledge, skills, abilities of the
applicant.
About Affinity
With more than 3,000 customers worldwide and backed by some of Silicon Valley's
best firms, Affinity has raised $120M to empower dealmakers to find, manage, and
close more deals. How? Our Relationship Intelligence platform uses the wealth of
data exhaust from trillions of interactions between Investment Bankers, Venture
Capitalists, Consultants, and other strategic dealmakers to deliver automated
relationship insights that drive over 450,000 deals every month. We are are
proud to have received Inc. and Fortune Best Workplaces awards as well as to be
Great Places to Work certified for the last 5 years running. Join us on our
mission to make it possible for anyone to cultivate and fully harness their
network to succeed.
We use E-Verify
Our company uses E-Verify to confirm the employment eligibility of all newly
hired employees. To learn more about E-Verify, including your rights and
responsibilities, please visit www.dhs.gov/E-Verify
[http://www.dhs.gov/E-Verify].
