Engineering Lead, Analytics

About Kindsight: Kindsight builds technology that helps fundraisers make a difference.

For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market.

And as the giving sector evolves, so does Kindsight.

As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors – at any scale.

With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.

Position Summary: We are seeking a highly skilled Engineering Lead, Analytics to design, build, and lead our data warehousing, analytics, and business intelligence capabilities across Kindsight’s product suite.

In this role, you will contribute deep technical expertise in data architecture, ETL/pipeline development, and data visualization while providing strategic insight to drive data-driven innovation.

You will collaborate closely with cross-functional teams—spanning product, engineering, data science, and business stakeholders—to deliver scalable, production-grade analytics solutions.

You will hire, lead, and grow a high-performing team of data engineers and analysts, including offshore team members, while remaining a hands-on technical leader comfortable with rapid prototyping and agile delivery.

What You’ll Do: Design, build, and optimize the company’s data warehouse architecture using dimensional modeling (star/snowflake schemas) on platforms such as Redshift, Snowflake, or BigQuery.

Develop and maintain scalable, automated ETL/ELT pipelines using tools like AWS Glue, Apache Airflow, dbt, and Spark to support data ingestion, transformation, and quality assurance.

Create and manage interactive dashboards, KPI frameworks, and reporting solutions using Tableau, AWS QuickSight, or equivalent BI platforms.

Architect and manage cloud-based data infrastructure on AWS, including S3, Redshift/Athena, Glue, IAM/security configurations, serverless setups, and cost/performance optimization.

Lead end-to-end development of analytics features and the supporting backend infrastructure required to deliver them into production.

Translate business and product requirements into scalable data and analytics solutions, leveraging descriptive, predictive, and prescriptive analytics approaches.

Hire, lead, and mentor distributed and offshore engineering teams, managing delivery through agile processes, code reviews, and structured knowledge transfer.

Drive rapid prototyping and proof-of-concept development, championing CI/CD pipelines and test automation to accelerate iteration cycles.

Implement and enforce data security, governance, and compliance standards including encryption, access controls, and audit practices.

Partner with product, engineering, and data science teams to integrate analytics features into production systems with reliability, efficiency, and scalability.

Stay current on emerging trends, tools, and best practices in data engineering, analytics, and cloud architecture to drive innovation within the organization.

What We’re Looking For: 6+ years of experience in software engineering with 1+ years in engineering management.

• 3+ years of core data warehousing experience including architecture, data modeling, and optimization.

Must have hands-on experience with dimensional modeling, star/snowflake schemas, and platforms such as Redshift, Snowflake, or BigQuery.

• 3+ years building scalable, automated ETL/ELT data pipelines with tools like AWS Glue, Airflow, dbt, or Spark.

Must have experience handling data ingestion, transformation, and automated data quality solutions.

• 3+ years of data visualization and BI experience using Tableau, AWS QuickSight, or equivalent.

Must have demonstrated experience in dashboard design, KPI definition, and interactive reporting.

• 3+ years of cloud architecture proficiency (AWS preferred) including S3, Redshift/Athena, Glue, IAM/security, serverless setups, and cost/performance optimization.
• 3+ years of advanced SQL proficiency and hands-on experience with descriptive, predictive, and prescriptive analytics, KPI development, and data-driven decision support.

Bonus for statistical fundamentals or close collaboration with data analysts.

• 2+ years of experience hiring and leading offshore or distributed engineering teams, managing delivery and agile processes, performing code reviews, and ensuring knowledge transfer.
• 2+ years demonstrating rapid prototyping and an agile mindset, including proof-of-concept development, CI/CD practices, and early adoption of test automation.
• 2+ years of experience with data security, governance, and compliance, including data encryption, access controls, and audit frameworks.

Bachelor’s or Master’s degree in Computer Science, Data Science, Analytics, or a related field.

Excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical audiences.

Bonus: Experience building within the Salesforce platform, including API integrations, custom ETL with Salesforce data models and objects.

Familiarity with CRMs, ERPs, or launching data products on Salesforce.

Familiarity with fundraising practices and metrics (e.g., donor lifetime value, conversion rates).

Contributions to open-source data engineering or analytics projects.

Compensation Range: $150,000 - $170,000 CAD OTE annually, based on experience, market benchmarks and role complexity.

We aim to offer fair, competitive pay that reflects your skills and the market.

This advertised position is for an existing vacancy at Kindsight.

At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow.

We hire based on skills, potential, and impact, and we believe our differences fuel innovation.

We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status.

We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.

We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process.

These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates.

All hiring decisions are made by our people, not AI.

Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.

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