Data Practice Director

Caylent, Inc.

Job Overview

Location

CANADA

Job Type

Full-time

Full Job Description

📋 Description

• The Data Practice Director is a senior leadership role within Caylent’s Cloud Data Engineering (CDE) practice, responsible for operationalizing practice strategy, leading a team of data professionals, and owning delivery excellence across client engagements. This role bridges strategic direction and day-to-day execution to ensure consistent, high-quality outcomes while scaling to meet growth targets.
• Day-to-day responsibilities include owning end-to-end delivery oversight for data engineering and analytics engagements, driving operational rigor (utilization, staffing, margin tracking), developing delivery standards and frameworks, serving as an escalation point for technical and client issues, and partnering with the Practice Leader to translate strategy into quarterly priorities and team-level OKRs.
• The role involves directly leading and developing a team of data engineers, architects, and analytics professionals across a globally distributed team, setting performance expectations, conducting reviews, providing coaching, partnering with recruiting on talent gaps and onboarding, and fostering a culture of ownership, continuous learning, and technical excellence while identifying and developing emerging leaders.
• The Data Practice Director builds trusted advisor relationships with key client stakeholders, acts as a senior point of contact for delivery and strategic guidance, partners with sales and GTM teams on business development activities, identifies expansion opportunities within client engagements, and represents Caylent credibly in director- and VP-level client conversations.
• The role contributes to practice growth by collaborating on go-to-market positioning and service offering development, contributing to thought leadership (whitepapers, webinars, conferences), staying current on modern data ecosystem trends, and supporting the development of practice IP such as accelerators, reference architectures, and reusable solution components.
• Caylent is a cloud-native services company specializing in AWS, helping organizations maximize the value of their people and technology through services including workload migrations, cloud-native application development, DevOps, data engineering, security, and compliance. The company operates fully remote with employees in Canada, the United States, and Latin America, prioritizing people-first culture, technological curiosity, and inclusive community.
• In this role, the individual can achieve significant impact by scaling a high-performing data practice, driving client success and expansion, shaping service offerings and thought leadership, developing emerging leaders, and contributing to Caylent’s growth as a leader in AWS-based data engineering and analytics services.

🎯 Requirements

• 12+ years of experience in professional services or consulting with a strong focus on data engineering, analytics, or data platform delivery
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance
• Hands-on background in data architecture or engineering with the ability to engage credibly with technical teams and client stakeholders
• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies
• Ability to operate effectively at multiple levels, from strategic planning to hands-on engagement support
• Comfort navigating ambiguity and complexity in a fast-paced, high-growth consulting environment
• Experience influencing senior client stakeholders (director, VP, and C-level) in delivery and advisory contexts
• Deep familiarity with the AWS data ecosystem including Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena
• Working knowledge of adjacent platforms such as Databricks and Snowflake and their integration with AWS-native architectures
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations
• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
• Master’s degree or MBA is a plus
• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus

🏖️ Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Skills & Technologies

AWS

Apache Spark

Remote

Degree Required

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Caylent, Inc.

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About Caylent, Inc.

Caylent provides cloud-native engineering services and DevOps consulting, helping enterprises design, migrate, and manage workloads on Amazon Web Services. The company delivers containerization, infrastructure automation, CI/CD pipelines, and data platform modernization through dedicated engineering teams. Serving mid-market to Fortune 500 clients, Caylent focuses on accelerating cloud adoption, cost optimization, and security compliance across regulated industries including healthcare, fintech, and SaaS.

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