Senior Software Engineer – Ingestion Framework

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acryl Data

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $9M Seed Round on 2021-06

Artificial Intelligence • Enterprise • SaaS

Acryl Data is the company behind DataHub, the leading open-source metadata platform designed to manage and govern data and AI. With a strong community of over 11,550 contributors, Acryl Data aims to become the gold standard in data and AI governance by providing reliable and compliant solutions. The company has emerged from a history of innovation at LinkedIn and has gained support from prominent investors like 8VC and LinkedIn itself. Acryl Data focuses on creating a metadata-driven control plane for data, delivering valuable insights from data leaders, and partnering with world-class companies to bring order to data chaos.

📋 Description

• Build and evolve the Python-based metadata-ingestion framework • Enable ingestion of usage statistics, end-to-end lineage, schemas, operational metadata, quality signals, and business context • Design and ship connectors for Snowflake, Redshift, Kafka, Databricks, and emerging infrastructure • Make ingestion cloud-native, scalable, resilient, observable, and easy to deploy and operate across customer environments • Apply AI to create smarter connectors, metadata inference, automated enrichment, and intelligent ingestion workflows • Solve distributed-systems problems involving large-scale metadata extraction, incremental updates, reliability, and performance • Lead technical direction for a small engineering pod and mentor junior engineers • Raise engineering quality, design, and execution standards • Collaborate with product, platform, and customer-facing teams to turn data-integration needs into product capabilities

🎯 Requirements

• 8+ years of experience designing, building, and shipping production distributed backend systems • Strong Python expertise, including ownership of features from design through implementation, testing, deployment, and iteration • Excellent computer-science fundamentals, supported by a degree in Computer Science or equivalent practical experience • Deep understanding of API design, algorithmic complexity, reliability, and distributed-systems concepts • Practical, ownership-oriented mindset; ability to navigate ambiguity and solve difficult technical problems • Experience with modern data platforms such as Snowflake, Databricks, Kafka, or similar systems is highly valued • Experience operating across multiple cloud environments is a strong plus • Previous experience leading or mentoring a small team or engineering pod is a strong plus

🏖️ Benefits

• Equity for everyone: Every team member receives an ownership stake in the company • Remote work • Monthly coworking stipend • Comprehensive health coverage: 99% of medical, dental, and vision premiums for employees; 65% for dependents • Flexible Spending Accounts (FSAs) • Dependent Care FSA • Carrot Fertility inclusive fertility benefits and family-forming support for all U.S. employees • Unlimited PTO and sick leave • High-impact challenges at the heart of enterprise AI infrastructure • Collaboration with a high-caliber team • Opportunities to build next-generation AI-native data systems