Solutions Architect, Snowflake
Plus equity
More information about location
1 day a week in office
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
Plus equity
More information about location
1 day a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- People who have a strong track record in building best in class cloud data platforms and strong consulting skills
- Our Architects are required to have 12+ years of experience in a customer facing technical role and a working experience in
- Distributed systems and massively parallel processing technologies and concepts such as Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server, and performance optimisation
- Data strategies and methodologies such as Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture
- Data organisation and modeling concepts and techniques such as Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, and 3NF database normalisation
- Infrastructure concepts such as the Cloud Hyperscalers (e.g. AWS and Azure) fundamentals of IaaS, PaaS, Networking, Security, Encryption, Identity and Access Management, and Disaster Recovery Planning
- Data Engineering concepts and frameworks such as batch processing, stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames, storage formats (e.g Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps
- Business Intelligence and analytics solutions such as Tableau, PowerBI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g linear regression, variance analysis, modeling, and forecasting)
- AI/ML fundamental understanding of key concepts such as classification, regression, clustering, dimensionality reduction, Natural Language Processing and Language Models
- Our ideal candidate helps bring structure and clarity in complex and continuously evolving environments, and must have a strong ability in leading engagements with internal and external stakeholders at different levels of the organisation (Development teams to Leadership)
- A strong industry experience in the Financial services, Retail, or the Healthcare & Life Sciences will be an advantage
What the job involves
- Engage with several Snowflake customers
- Lead technical streams of client data platform implementations and on-boarding efforts
- Work with the other Customer Engagement and Delivery matrix resources to ensure proper technical guidance, project management and functional support
- Collaborate as needed with different Snowflake organisations: Engineering, Support, Sales and Marketing
- Help clients troubleshoot their implementations and integrate the product within their ecosystem
- Identify, document, triage and track issues to ensure resolution
- Actively contribute to the growth and scalability of the Customer Delivery and Training and Education teams through robust documentation, continuous process optimization, and capability cross-training
- Apply industry/domain/technology expertise to client implementations
- Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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