Senior Managing Consultant (Data Engineering)

Keyrus USA • New York, NY

18d • Hybrid

About The Position

Keyrus North America (NORAM) is seeking a full-time Senior Managing Consultant (Data Engineering) with strong experience in Databricks, Microsoft Fabric, Snowflake and Azure. and modern cloud data platforms. This role combines architectural oversight, multi-project delivery and leadership, practice governance, and strategic contributions to our NORAM go-to-market priorities. Reporting into our NORAM management team, this is a leadership role with both strategic and hands-on responsibilities, ideal for someone who wants to influence our go-to-market, shape our engineering standards, and guide complex technical projects.

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

Responsibilities

• 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

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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees