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For Companies At a Glance
- Tasks: Engage with customers, oversee Snowflake implementations, and provide technical leadership.
- Company: Join a dynamic team focused on innovative data solutions and customer success.
- Benefits: Enjoy flexible hours, potential overtime, and opportunities for professional growth.
- Why this job: Be a trusted advisor, shape data strategies, and make a real impact in various industries.
- Qualifications: BA/BS in relevant fields and 5-7 years of experience in data consulting roles required.
- Other info: Ideal for tech-savvy individuals passionate about data analytics and cloud solutions.
The predicted salary is between 48000 - 72000 £ per year.
As Solutions Consultant, you will:
- Directly engage with customers individually or as part of a technical delivery team.
- Oversee and advise on the implementation of the customers Snowflake platform.
- Demonstrate technical leadership through personally developed code, solution architectures and implementation recommendations.
- Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches.
- Extract business requirements from customers and translate them into a well-architected recommendation.
- Develop and provide forward looking guidance and future state roadmaps.
- Leverage known best practices and solutions to reduce risk to customer implementations.
- Decompose future state goals into actionable execution plans.
- Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals.
The ideal candidate for a Solutions Consultant will have:
- BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience.
- 5-7 years of experience as a Solutions Consultant, data architect, database administrator, or data engineer.
- 5-7 years of technical consulting experience.
- Experience in a lead role for analytics projects for large enterprises.
- Experience implementing and operating Snowflake centric solutions.
- Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
- Familiarity with industry common BI and ETL solutions.
- Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions.
- Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.).
- Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform.
A strong candidate will additionally have:
- Experience in the services organization of a product company.
- Experience in a leadership position executing technical projects.
- Industry vertical expertise (Media, Financial Services, Healthcare, etc).
- Application Development experience.
- AWS, Google or Microsoft Cloud certification(s).
- Snowflake Snowpro Advanced Certification(s).
Solutions Consultant employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Consultant
✨Tip Number 1
Familiarise yourself with Snowflake and its ecosystem. Understanding the platform's capabilities and best practices will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with current Solutions Consultants or professionals in similar roles. Engaging with them on platforms like LinkedIn can provide insights into the day-to-day responsibilities and expectations, which can be invaluable during your discussions with us.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented data solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this showcases your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on industry trends and advancements in data analytics and cloud technologies. Being knowledgeable about the latest tools and methodologies will position you as a forward-thinking candidate who can contribute to our team's success.
We think you need these skills to ace Solutions Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, technical consulting, and any specific projects involving Snowflake or similar technologies. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Solutions Consultant role and explain how your background in computer science and experience with large-scale database technology make you a strong fit. Be sure to mention any leadership roles you've held in analytics projects.
Showcase Technical Skills: Include specific examples of your hands-on experience with SQL, Python, Java, or Spark in your application. Highlight any successful implementations or projects where you demonstrated technical leadership and problem-solving abilities.
Demonstrate Industry Knowledge: If you have experience in specific industries like Media, Financial Services, or Healthcare, make sure to mention this in your application. Discuss how your industry expertise can add value to the company's clients and their Snowflake implementations.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
As a Solutions Consultant, you'll need to demonstrate your technical skills. Be prepared to discuss your experience with SQL, Python, and Snowflake in detail. Bring examples of past projects where you implemented data solutions, as this will show your hands-on experience.
✨Understand the Customer's Needs
Make sure you can articulate how you would extract business requirements from customers. Think about how you can translate these into actionable plans. Showing that you can act as a trusted advisor will set you apart from other candidates.
✨Familiarise Yourself with Industry Best Practices
Research common BI and ETL solutions relevant to the role. Being able to discuss best practices and how they can reduce risks in customer implementations will demonstrate your knowledge and readiness for the position.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions during the interview. Prepare to discuss how you would approach specific challenges related to data analytics projects. This will showcase your problem-solving skills and ability to think critically under pressure.
