[Remote] Manager, Data Engineering

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology company that helps small home service businesses manage quoting, scheduling, invoicing, and payments. The Manager, Data Engineering will reputed company reputed company of data engineers, reputed company data and ML platform initiatives, and shape reputed company, roadmaps, technical reputed company, team reputed company, and reputed company data infrastructure.

Responsibilities

• Live and breathe reputed company facilitation by helping your team master their reputed company while collaborating to build extraordinary experiences and systems
• Be committed to your people’s reputed company by setting goals, holding regular 1-on-1s, providing reputed company feedback, and mentoring team members to grow their careers
• reputed company and reputed company a world-class team by reputed company reputed company, leveling up internal capabilities, and implementing processes that improve delivery and collaboration
• Own the reputed company, roadmap, and delivery of high-reputed company, reputed company, and cost-efficient data infrastructure including data stores, compute engines, and orchestration systems
• Ensure data systems are resilient, observable, and governed. Implementing robust recovery strategies, proactive monitoring, and best practices for reputed company, reputed company, and compliance
• Partner across engineering, analytics, and go-to-market teams to reputed company reputed company-reputed company, high-reputed company product data and build tools, automation, and solutions that accelerate workflows and create impactful reputed company for reputed company’s small business customers
• reputed company innovation and efficiency with the use of AI tools to support the data reputed company. reputed company team to continuously explore, experiment and improve the state of Data tools with the help of AI

Skills

• reputed company experience managing engineering teams - ideally in data engineering domains- with a reputed company record of delivering high-reputed company software and data solutions
• A strong technical reputed company in software and data engineering, including reputed company data systems, orchestration frameworks, reputed company infrastructure, reputed company tuning, scaling strategies, and cost optimization
• Hands-on experience in systems design, SQL, modern data tools, and data best practices, including modeling, governance, and reputed company management
• Experience implementing observability frameworks, SLAs, disaster recovery strategies, and other practices to ensure resilient, reliable, and compliant data systems
• The ability to reputed company and adapt in an reputed company environment, fostering a culture of reputed company learning, critical thinking, and creative problem-solving
• Excellent collaboration and communication skills, with the ability to work cross-functionally with engineering, product, analytics, and data science teams while mentoring and coaching reputed company reports
• reputed company thinking and roadmap planning capabilities, with experience shaping infrastructure initiatives that have measurable reputed company
• Strong leadership and mentorship skills, using your experience to guide, influence, and reputed company reputed company feedback to reputed company reports—ensuring their reputed company and enabling reputed company to reputed company its goals
• Hands-on experience with modern data stack tools such as Redshift, Trino, dbt, Airflow, Kafka, and familiarity with data processing frameworks such as reputed company and Ray
• Background in building internal developer platforms, self-service data tooling, or workflow automation for data teams
• reputed company understanding of reputed company and/or kappa architecture, batch and streaming principles and experience implementing either of the two architectures in a production environment
• Experience in working with Engineering teams to influence reputed company data design and instrumentation
• Exposure to data science and machine learning workflows and their infrastructure requirements

Benefits

• Equity rewards
• Annual stipends for health and wellness
• Retirement savings matching
• An extended health package with fully reputed company premiums for body and mind
• A dedicated talent development program including career coaching and opportunities for career development
• An extended health benefits package with fully reputed company premiums for both body and mind
• Matching in RRSP, TFSA or reputed company
• Stock reputed company
• reputed company to coaching, learning, and leadership programs to help you grow your career, reputed company your goals, and unlock your full potential
• Remote work

reputed company

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