Engineering Manager - Data
Caylent · United States
- Hybrid
- Full-time
- $177,500 / year
- United States
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Engineering Manager - Data
Caylent · United States
Taylor Morgan
Hiring Manager · h•••••@job-boards.greenhouse.io
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Subject: Interested in the Engineering Manager - Data role at Caylent
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Job highlights
- Lead a team of cloud data engineers.
- Manage client engagements and technical delivery.
- Hands-on technical leadership and mentoring.
- Utilize AWS, Spark, and ML expertise.
- Drive business forward with data solutions.
About the role
Engineering Manager - Data
Caylent is a cloud-native services company dedicated to helping organizations leverage Amazon Web Services (AWS) to maximize their potential. We offer a comprehensive suite of AWS services, including workload migrations and modernization, cloud-native application development, DevOps, data engineering, security, and compliance. At Caylent, our people are our top priority. We are a global, fully remote company with employees across Canada, the United States, and Latin America. We embrace and celebrate the diverse cultures of our team members, fostering a community driven by technological curiosity. Join us to discover what it means to be a Caylien!The Mission
We are looking for an Engineering Manager to lead our Cloud Data Engineering Practice. The ideal candidate will possess strong technical acumen, the ability to manage a team of Architects and Engineers, oversee data delivery engagements, and a passion for driving business forward in collaboration with our customers, partners, and employees.Your Assignment
- Manage a team of 5 - 8 cloud engineers and architects.
- Interface with clients and internal teams to propose technical improvements using cloud and engineering knowledge.
- Take on hands-on technical responsibilities, including technical tasks within sprints.
- Lead technical discussions with customers.
- Handle code reviews and pull request management.
- Manage task assignments within sprints.
- Perform technical leadership activities such as roadmap and vision checks, best practices implementation, and risk identification.
- Provide in-project mentoring, understand team members' needs, and create growth opportunities, providing feedback.
- Ensure technical accountability for delivery.
- Kickoff new client engagements and serve as a point of technical escalation.
- Develop and review proposals and contracts, presenting them to clients.
- Perform technical interviews for Architect and Engineer candidates.
- Conduct weekly 1:1s with direct reports and guide their career development.
Your Qualifications
- Strong experience in the AWS data landscape.
- Expertise in at least two major areas of Cloud Data Engineering:
- Relational database design, optimization, and migration.
- Big data processing using Spark, Hadoop, EMR, etc.
- Machine Learning and MLOps.
- Advanced analytics using time series forecasting, descriptive and inferential statistics.
- BI dashboards and visualizations.
- Data Governance and MDM.
- Experience with most of the following:
- Infrastructure as Code tools.
- CI/CD pipelines.
- Application modernization and migration with a strong focus on databases.
- Excellent written and verbal communication skills.
Benefits
- Medical Insurance for you and eligible dependents.
- 401k plan with company match up to 4% and immediate vesting.
- Competitive phantom equity.
- Company-issued laptop.
- Dental and Vision insurance.
- Term Disability Insurance.
- Term Life Insurance.
- Flexible Spending Account.
- Equipment & Office Stipend.
- Annual stipend for Learning and Development.
- Unlimited Paid Time Off, following a 90-day probationary period.
- 10 Paid Holidays.
Salary Range
The expected base salary range for this position is $140,000 - $215,000 per year, commensurate with experience and qualifications.Additional Compensation Components
In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. Specific components will vary based on the role and individual and/or company performance.Key skills/competency
- Engineering Management
- Data Engineering
- AWS
- Team Leadership
- Client Relations
- Technical Architecture
- Mentoring
- Code Review
- Spark
- Machine Learning
Skills & topics
- Engineering Manager
- Data Engineering
- AWS
- Cloud Computing
- Team Leadership
- Mentoring
- Spark
- Machine Learning
- DevOps
- Client Management
- Amazon Web Services
- EMR
- Hadoop
- Big Data
- MLOps
- BI
- Data Governance
- Infrastructure as Code
- CI/CD
- Application Modernization
- Database Management
How to get hired
- Tailor your resume: Highlight your AWS data landscape experience and expertise in areas like Spark, ML, and database management. Quantify achievements in team leadership and client delivery.
- Craft a compelling application: Emphasize your passion for cloud-native technologies and client success. Clearly articulate your experience in managing engineering teams and overseeing data projects.
- Prepare for technical interviews: Brush up on AWS data services, big data processing (Spark, EMR), ML/MLOps, and database design. Be ready to discuss code reviews and technical leadership scenarios.
- Showcase leadership skills: In interviews, demonstrate your ability to mentor, guide career development, and handle technical escalations. Highlight your experience in client-facing roles and proposal development.
Technical preparation
Master AWS data services and architecture.,Deep dive into Spark, EMR, and big data processing.,Practice ML/MLOps concepts and implementation.,Review database design, optimization, and migration.
Behavioral questions
How do you mentor and develop engineers?,Describe a challenging client delivery you managed.,How do you handle technical escalations?,Share your approach to code review best practices.
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What is the salary range for the Engineering Manager - Data role at Caylent?
- The expected base salary for the Engineering Manager - Data position at Caylent ranges from $140,000 to $215,000 per year, depending on your experience and qualifications. Additional compensation components like bonuses, commissions, and equity may also be part of the package.
- Is this a remote position with Caylent?
- Yes, Caylent operates as a fully remote company, with employees located in Canada, the United States, and Latin America. This Engineering Manager - Data role is also remote.
- What are the key technical qualifications for the Engineering Manager - Data at Caylent?
- Key technical qualifications include strong experience in the AWS data landscape and expertise in at least two major areas of Cloud Data Engineering, such as relational database design, big data processing (Spark, Hadoop, EMR), Machine Learning/MLOps, advanced analytics, BI dashboards, or Data Governance.
- What is the team size I would be managing as an Engineering Manager - Data?
- As an Engineering Manager - Data at Caylent, you will manage a team of approximately 5 to 8 cloud engineers and architects.
- Does Caylent offer visa sponsorship for the Engineering Manager - Data role?
- No, Caylent is unable to provide visa sponsorship for this role, now or in the future.
- What benefits does Caylent offer to its employees for the Engineering Manager - Data position?
- Caylent offers a comprehensive benefits package including medical, dental, and vision insurance, a 401k plan with company match, competitive phantom equity, a company-issued laptop, and an equipment/office stipend. They also provide an annual stipend for learning and development and unlimited paid time off.
- What is Caylent's approach to diversity and inclusion for the Engineering Manager - Data role?
- Caylent is committed to creating an inclusive environment where everyone belongs. They celebrate diversity and embrace a variety of backgrounds, perspectives, and abilities, actively working to build a winning team reflective of these values.
- How does Caylent use AI in its hiring process for the Engineering Manager - Data role?
- Caylent may use AI tools to assist in screening and evaluating applications to match candidate qualifications with job requirements. These tools support human decision-making, and final hiring decisions are always made by recruitment professionals in accordance with applicable laws.
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