Jobs
Required Skills
Snowflake
Data Architecture
Data Warehousing
Data Engineering
Leadership
Project Management
Sales
Technical Expertise
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Snowflake is transforming the future of data and we are looking for a dynamic Consulting Manager to lead our Snowflake Service Delivery (SD) team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimize, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions.
As a Consulting Manager, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, and oversee seamless transitions. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders.
AS A CONSULTING MANAGER AT SNOWFLAKE, YOU WILL:
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Be a technical expert on all aspects of Snowflake
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Guide customers through the process of planning their migration journey to Snowflake
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Work with Professional Services, Practice Directors and Sales Account Team on sales pursuits – scoping PS engagements, pricing services, creating statements of work
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Work with Service Delivery Managers to oversee successful PS engagements and help with issue escalation
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Develop methodologies to improve the PS offerings and abilities to deliver complex engagements
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Help create strategies and partnerships with technology vendors and system integrators focused on accelerating customer onboarding on to Snowflake
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Help manage and develop internal accelerators and reusable PS collaterals and assets
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Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
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Provide guidance on how to resolve customer-specific technical challenges
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Be a leader, mentor and manager of Snowflake Solutions Architects and Consultants helping them to develop and grow their expertise
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Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s offerings
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Present our methodologies, capabilities to both internal teams, external partners and customers
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Work with System Integrators and Technology Vendors on project pursuits
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Lead recruiting efforts for Solutions Architects
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Provide delivery quality oversight and guidance for migration projects
OUR IDEAL CONSULTING MANAGER WILL HAVE:
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Minimum 10 years of experience working with customers in post-sales technical role
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Minimum 3 years of people leadership and management experience
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Minimum 3 years of experience in selling professional services; scoping large projects, writing statements of work
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Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.)
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Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
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Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, Data Stage, Talend, Matillion)
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Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau)
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Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, Google Cloud, etc.)
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Experience scoping multiple implementations of data platforms and holistically addressing the unique challenges of migrating and integrating the new platform
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University degree in computer science, engineering, mathematics or related fields, or equivalent experience
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Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
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Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
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Strong knowledge in data architecture, data warehouses, and data engineering
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Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
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Ability and flexibility for occasional travel to work with customers/prospects.
WHY JOIN OUR PROFESSIONAL SERVICES TEAM AT SNOWFLAKE?
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Unique opportunity to work on a truly disruptive software product
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Get unique, hands-on experience with bleeding edge data cloud technology
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Develop, lead and execute an industry-changing initiative
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Learn from the best! Join a dedicated, experienced team of professionals.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
277 reports
$252,858
total / year
Base
$171,306
Stock
$57,741
Bonus
$23,811
$190,229
$354,557
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
News & Buzz
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