Staff Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 61 days.
• No salary listed.

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Agiloft

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1991

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 $45M Private Equity Round on 2020-08

Legal • Consulting • Healthcare

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

📋 Description

• Lead the design and delivery of a new, efficient, scalable data model • Plan transition and migration strategies that minimize disruption for existing customers • Partner with Product and Engineering leadership to define long-term data architecture and system of record • Drive architectural decisions across teams • Design, build, and maintain scalable data pipelines and data flows across core applications, AI services, and analytics systems • Build and evolve the data warehouse and analytics layer • Ensure data platforms meet standards for performance, security, privacy, compliance, and cost efficiency • Implement monitoring and automated data quality checks • Establish data governance standards, including documentation, lineage, and retention • Collaborate with Data Science, ML, Professional Services, and customer-facing teams on analytics, integrations, and data migrations • Provide technical guidance and mentorship, lead design and code reviews, and contribute to the data roadmap • Stay current with data engineering, data modeling, and cloud data platform advancements

🎯 Requirements

• 8+ years of experience in data engineering • Track record of designing and owning data models for complex, production SaaS products with high scale and low latency • Deep expertise in relational, dimensional, and entity or graph-based data modeling • Proven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption • Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar • Experience with modern data platforms, including warehouses and lakehouses • Experience with cloud platforms, preferably AWS • Understanding of data governance, data quality, row- and field-level security, and access control models • Experience implementing data quality testing, monitoring, and observability • Experience designing semantic layers or data models powering analytics, BI, and AI or LLM-based applications • Ability to drive architecture decisions across teams, write design documents, and scope and plan multi-quarter initiatives • Strong communication skills for collaboration with product managers, engineers, data scientists, and customer-facing teams • Familiarity with contract lifecycle management, legal tech, or document-heavy enterprise domains is a plus

🏖️ Benefits

• Healthy work/life balance • Floating holidays • Quarterly, no-questions-asked wellness day • Employee Resource Groups (ERGs)

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