Managing Consultant, Data Engineering
KeyrusCloud
full-time
Posted on:
Location Type: Remote
Location: District of Columbia • Florida • United States
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About the role
- Collaborate with clients to understand business objectives and technical requirements to translate them into effective data solutions
- Lead end-to-end delivery of data initiatives: design, build, and optimize scalable data pipelines, data lakes and architectures using Databricks, Fabric, and other modern cloud tools (Snowflake, Azure Data Services, etc.)
- Define architectural patterns, reusable accelerators, and modernization frameworks using Databricks, Fabric, Snowflake, Azure, DBT and emerging technologies
- Provide architectural governance and oversee multiple engagements to ensure consistency, quality, and alignment with best practices. Proactively managing risks, resourcing, and margin protection
- Lead and scale the data engineering practice, including capability building and setting technical standards
- Contribute to technical pre-sales, shape solution offerings, and support industry-specific use-case development
- Collaborate closely with our partners to align solutions, stay ahead of platform evolution, and build differentiated offerings for our clients
- Manage a technical team, providing guidance, mentoring, and support to ensure successful delivery and development of team members
- Enable the use and adoption of AI capabilities within existing data platforms and solutions.
Requirements
- Bachelor’s in computer science, IT, or related field
- 10+ years of experience in data engineering, including 5+ years in a senior, principal, or architect-level leadership role, ideally within a consulting environment
- Hands-on expertise designing and optimizing data pipelines and architectures using Databricks, Microsoft Fabric, Snowflake, and Azure Data Services (Data Factory, Synapse, ADLS)
- Proven experience defining and governing enterprise-scale architectures across Fabric, Databricks, Snowflake, and Azure
- Strong understanding of modern analytics architectures (data warehouse, data lake, lakehouse), with the ability to guide clients toward the right approach based on business needs
- Experience overseeing multiple concurrent project teams while driving delivery excellence and margin accountability
- Experience in client-facing roles, with involvement in pre-sales and proposals, and the ability to leverage market insights in client and partner conversations
- Strong leadership with excellent communication skills, able to influence C-level stakeholders and lead strategic technical conversations
- Experience managing and mentoring a team of consultants or data engineers, ensuring high-quality delivery and continuous skill development.
Benefits
- Health insurance for you and your family members
- 401K plan
- Monthly Wellness Allowance
- 4 weeks of paid vacation
- Language courses (French & English)
- Access to continuing education (in-house, conferences, events, courses, certifications, etc.)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesdata architecturesdata lakesDatabricksMicrosoft FabricSnowflakeAzure Data ServicesDBTAI capabilities
Soft Skills
leadershipcommunicationmentoringcollaborationinfluencingclient-facingguidancerisk managementproject managementcapability building
Certifications
Bachelor’s in computer scienceBachelor’s in ITBachelor’s in related field