Senior Data Platform Engineer

Gravity; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A data solutions company in Toronto is looking for a Senior Data Platform Engineer to design, build, and scale data platforms for mission-critical government technology solutions. The ideal candidate will have over 6 years of experience in data engineering, strong cloud platform expertise, and proficiency in SQL and programming languages. Responsibilities include leading platform architecture decisions, building data platform infrastructure, and implementing scalable data pipelines. This full-time position offers the opportunity to positively impact public-sector outcomes.

Qualifications

• 6+ years of experience in data engineering or data platform roles.
• Strong experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in SQL and at least one programming language (Python, Java, or Scala).
• Hands-On experience with modern data stacks (BigQuery, Databricks, etc.).
• Experience with data governance, security, and compliance in regulated environments.

Responsibilities

• Lead platform and architecture decisions across cloud data technologies.
• Build and deploy core data platform infrastructure using Infrastructure as Code.
• Implement scalable ingestion pipelines for application databases and operational data.
• Define ingestion strategies and layered data modeling approaches.

Skills

Data engineering

Cloud platforms (AWS, Azure, GCP)

SQL

Python

BigQuery

Databricks

Modern data stacks (Airflow, Spark, Kafka)

Job description

Senior Data Platform Engineer

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About Gravity

Gravity is the platform public agencies use to manage budgeting, automate financial reporting, and meet compliance with confidence. From Annual Comprehensive Financial Reports (ACFR) to Budget Books to GASB disclosures, we give teams the tools to move faster, work smarter, and build public trust.

About The Role

We are seeking a Senior Data Platform Engineer to design, build, and scale secure, resilient data platforms that power mission‑critical government technology solutions. This role blends hands‑on engineering with architectural leadership across cloud data platforms, enabling analytics, AI/ML, and product insights that improve public‑sector outcomes.

You will partner with engineering, product, security, and analytics stakeholders to deliver a modern, compliant, and highly reliable data platform.

What You’ll Do

Design & Architecture

• Lead platform and architecture decisions across cloud data technologies (e.g., BigQuery, Databricks, lakehouse/warehouse patterns)
• Define ingestion strategies (batch, streaming, CDC) and layered data modeling approaches
• Design secure, compliant architectures addressing PII, HIPAA, SOC 2, and government standards
• Produce high‑level technical designs, platform recommendations, and cost estimates

Platform Foundation & Enablement

• Build and deploy core data platform infrastructure using Infrastructure as Code (Terraform)
• Establish Dev/Test/Prod environments, CI/CD pipelines, and operational guardrails
• Implement networking, IAM, secrets management, and identity integrations
• Configure governance, cataloging, lineage, observability, and data quality tooling
• Enable analytics and AI/ML foundations (feature stores, model tracking, ML workspaces)

Data Onboarding & Activation

• Implement scalable ingestion pipelines for application databases, SaaS systems, product events, and operational data
• Build curated data models (raw/bronze > silver > gold) and semantic layers for BI and analytics
• Support product analytics, reporting, and ML use cases through reliable data contracts
• Partner with stakeholders to deliver dashboards, metrics, and operational insights

What You’ll Bring

• 6+ years of experience in data engineering or data platform roles
• Strong experience with cloud platforms (AWS, Azure, or GCP)
• Proficiency in SQL and at least one programming language (Python, Java, or Scala)
• Hands‑on experience with modern data stacks (BigQuery, Snowflake, Databricks, dbt, Airflow, Spark, Kafka)
• Experience with data governance, security, and compliance in regulated environments
• Ability to lead architecture discussions and deliver pragmatic, scalable solutions

About You

• You are a senior‑level data platform engineer who enjoys owning problems from architecture through production
• You think in platforms and systems, not just individual pipelines or tools
• You are comfortable working in regulated, mission‑driven environments and understand security and compliance constraints
• You balance technical rigor with pragmatism and know how to make sound trade‑offs
• You can move easily between high‑level design discussions and hands‑on implementation
• You communicate clearly with engineers, product partners, and non‑technical stakeholders
• You value clean architecture, documentation, and long‑term maintainability

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• Software Development