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Added 4 mins ago
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Teqfocus

Data Engineer - Databricks

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Experience: 5+ years building data applications or dashboards, including 2+ years of hands-on Databricks experience.
Posting language: English
Posted: Nov 5, 2026

Original job description

Role Overview:

Build and deliver a secure, intuitive Software Realization dashboard on Databricks, bringing together software renewals, contract spend and capability overlap. This is a hands-on, deliverables-driven engagement supporting a software portfolio initiative built on Databricks and a curated Unified Data Layer (UDL).

About Teqfocus:

Teqfocus is a Data and AI company that helps enterprises build and scale the Agentic Enterprise - connecting the data foundation, the intelligence layer, and the applications teams run their businesses on into a single, coherent architecture.

As a Salesforce Summit Partner, we work in Healthcare, Life Sciences, Financial Services, Insurance, and Hi-Tech - industries where getting AI right matters and the tolerance for failure is low. Our delivery model is senior-heavy by design. The same team that scopes an engagement ships it to production. There are no junior shadow teams, no sub-contractors brought in when the problem gets hard, and no hand-off to a separate managed services vendor when the project closes.

We run an internal innovation practice that builds the reusable patterns, pre-tested architectures, and industry-specific frameworks that give every Teqfocus client a head start - and give every Teqfocus practitioner work that compounds over time.

We are a diverse, immigrant-entrepreneurial company. We were built on the conviction that the best outcomes come from people who take genuine ownership of what they build - and are trusted to do so.

www.teqfocus.com

Key Responsibilities:

Dashboard Development

Build a hosted Databricks dashboard using AI/BI Dashboards, Databricks Apps, or a suitable combination; recommend the approach and trade-offs early in the engagement.
Develop renewal radar, application detail, capability comparison, and portfolio views with fiscal quarter, fiscal year and custom date filters.
Display notice deadlines, contract value, application owners, similar tools, capability overlap, and supporting match evidence.
Implement filters by category, owner, cost center and contract value, plus renewal status and data freshness indicators.

Data, Security and Delivery

Write efficient SQL queries and presentation-layer views on curated Unified Data Layer (UDL) contract, application and capability tables.
Implement role-based access with appropriate data-layer enforcement, including Unity Catalog permissions or row-level controls.
Surface missing fields and unmatched records; validate dashboard metrics against sourcing and asset registry systems.
Collaborate with business analysts and data engineers on schemas, interfaces, UAT, testing, rollout and defect resolution.
Produce technical design, operational runbook, user documentation, weekly status updates and final knowledge transfer.

Required Qualifications:

5+ years building data applications or dashboards, including 2+ years of hands-on Databricks experience.
Databricks SQL, Delta Lake and Unity Catalog, including permissions and row-level or column-level security.
Experience with Databricks AI/BI Dashboards, Databricks Apps or comparable lakehouse-hosted applications.
Strong SQL, performance tuning, Python and, where relevant, JavaScript or a front-end framework.
Experience with role-based access, fiscal-calendar logic, data visualization, source reconciliation and UAT.
Able to deliver independently on short timelines and communicate effectively with technical and business stakeholders.

Good to Have:

Experience building portfolio management, procurement, contract or renewal dashboards.
Familiarity with LLM-enabled similarity or capability-overlap results and evidence-based comparisons..

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More about this job

Responsibilities

Build and deliver a secure Databricks dashboard for software renewals, contract spend, application details, and capability overlap, including filters, access controls, and data freshness indicators. Validate dashboard data and metrics, collaborate on testing and rollout, and provide technical documentation, status updates, and knowledge transfer.

Requirements

Requires at least five years of experience building data applications or dashboards, including two or more years of hands-on Databricks experience, with strong SQL and Python skills. Candidates should have experience with Databricks security and dashboard tools, data visualization, fiscal-calendar logic, source reconciliation, UAT, and independent delivery.

Skills

Databricks
Databricks SQL
Delta Lake
Unity Catalog
SQL
Python
Dashboard Development
Data Visualization
Performance Tuning
Role-Based Access Control
Row-Level Security
Column-Level Security
Fiscal Calendar Logic
Data Reconciliation
User Acceptance Testing
Databricks AI/BI Dashboards

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Databricks SQL
Delta Lake
Unity Catalog
Unified Data Layer
AI/BI Dashboards
Databricks Apps
SQL
Python
JavaScript
Front-End Frameworks
Dashboard Development
Data Applications
Data Visualization
Performance Tuning
Role-Based Access Control
Row-Level Security
Column-Level Security
Fiscal Calendar
Source Reconciliation
User Acceptance Testing
Contract Management
Software Renewals
Portfolio Management
Capability Overlap
LLM-Enabled Similarity
Data Freshness
Access Permissions
Sourcing Systems
Asset Registry

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