Chainalysis

3 months ago

Engineering Manager, Data Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead a six-engineer Data Cloud team building real-time streaming pipelines, data lakehouse, and cloud infrastructure at petabyte scale. Drive people development, execution, and AI adoption while partnering with a Staff Data Engineer to shape technical vision and ensure high-impact, reliable data platforms for crypto customers.

Location: Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead, coach, and develop a team of 6 engineers across streaming, data lakehouse, serving layer, and platform infrastructure.
•Remove obstacles, shield the team from organizational noise, and ensure they have what they need to ship.
•Own quarterly plan and sprint execution: translate OKRs into milestones with clear owners, timelines, and success criteria.
•Coach engineers toward their next level with plans, feedback, and sponsorship for promotion when warranted.
•Champion engineering best practices: design reviews, ADRs, blameless post-mortems, automated testing, and data quality as a first-class citizen.

Key Requirements

•Managed a team of 5–10 engineers building data infrastructure, data platforms, or backend systems at scale with a servant leadership approach.
•A software or data engineering background; capable of reading a Terraform plan, following streaming architecture discussions, and asking meaningful questions in design reviews.
•A track record of developing people: coaching engineers toward promotion, giving constructive feedback, and building teams with high retention.
•Strong execution habits: ability to create and maintain project timelines and recognize when things are off track.
•Excellent communication skills: able to explain technical decisions to leadership, summarize incidents concisely, and draft quarterly plans.

Experience:BlockchainCryptoData engineeringCloud infrastructureData streaming

Skills:LeadershipCoachingCommunicationCollaborationMentoring

Tech Stack:JavaPythonSQLTerraformAWSS3EC2EKSIAMKubernetesHelmDatabricksDelta LakeIcebergDBTStarRocksFlinkKafkaWarpStreamGitHub Actions

Company Brief

Chainalysis

Provides blockchain data, analytics, and investigation software to law enforcement, regulators, financial institutions, and crypto businesses to detect illicit activity, ensure compliance, and build trust in digital asset ecosystems.

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series F

Headquarters: New York, United States

Founded: 2014

Glassdoor: 2.8

Website LinkedIn Glassdoor

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Chainalysis

3 months ago

Engineering Manager, Data Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead, coach, and develop a team of 6 engineers across streaming, data lakehouse, serving layer, and platform infrastructure.
•Remove obstacles, shield the team from organizational noise, and ensure they have what they need to ship.
•Own quarterly plan and sprint execution: translate OKRs into milestones with clear owners, timelines, and success criteria.
•Coach engineers toward their next level with plans, feedback, and sponsorship for promotion when warranted.
•Champion engineering best practices: design reviews, ADRs, blameless post-mortems, automated testing, and data quality as a first-class citizen.

Key Requirements

•Managed a team of 5–10 engineers building data infrastructure, data platforms, or backend systems at scale with a servant leadership approach.
•A software or data engineering background; capable of reading a Terraform plan, following streaming architecture discussions, and asking meaningful questions in design reviews.
•A track record of developing people: coaching engineers toward promotion, giving constructive feedback, and building teams with high retention.
•Strong execution habits: ability to create and maintain project timelines and recognize when things are off track.
•Excellent communication skills: able to explain technical decisions to leadership, summarize incidents concisely, and draft quarterly plans.

Experience:BlockchainCryptoData engineeringCloud infrastructureData streaming

Skills:LeadershipCoachingCommunicationCollaborationMentoring

Tech Stack:JavaPythonSQLTerraformAWSS3EC2EKSIAMKubernetesHelmDatabricksDelta LakeIcebergDBTStarRocksFlinkKafkaWarpStreamGitHub Actions

Company Brief

Chainalysis

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series F

Headquarters: New York, United States

Founded: 2014

Glassdoor: 2.8

Website LinkedIn Glassdoor