Senior Solution Engineer
Leads customer-facing technical expansion for Snowflake across Malaysian Telecommunications and Financial Services accounts. The role designs architectures, delivers demos and proofs of concept, advises executives on data and AI strategies, and requires 7+ years of technical pre-sales or architecture experience.
About the job
Responsibilities
- Own technical expansion strategies for enterprise Telecommunications and Financial Services customers in Malaysia.
- Identify new workloads, use cases, and lines of business for Snowflake adoption, including risk and compliance, customer 360, network analytics, fraud, revenue assurance, and real-time personalization.
- Partner with Account Executives to drive adoption, workload expansion, and multi-line-of-business growth.
- Present Snowflake technology and vision to executives and technical stakeholders throughout the sales cycle.
- Lead technical discovery sessions and translate business objectives into Snowflake-powered solutions.
- Design and present target-state architectures, reference patterns, roadmaps, demos, and technical narratives.
- Lead proofs of concept and pilots, including success criteria and joint execution plans.
- Advise customers on data modeling, performance optimization, cost governance, security, operations, migration, and enterprise data-platform standardization.
- Orchestrate internal specialists, Professional Services, partners, and cross-functional teams to execute account strategies.
- Develop industry-specific solution patterns, demos, technical content, playbooks, and reference architectures for Telco and Financial Services stakeholders.
- Represent Snowflake at workshops, executive briefings, industry events, and community meetups.
- Mentor junior Solutions Engineers and contribute to regional best practices.
Requirements
- 7+ years of experience in a customer-facing technical role such as Solutions Engineer, Pre-Sales Architect, or Data Architect in the data, analytics, or cloud space.
- Hands-on expertise with cloud data platforms, data warehousing, or big data technologies.
- Proficiency in SQL and experience with a programming language commonly used in data and analytics, such as Python.
- Ability to design and communicate architectures for data integration, warehousing, BI and analytics, and data science or machine learning workloads.
- Industry experience or strong exposure to Financial Services and/or Telecommunications.
- Demonstrated success driving technical wins and expansion in enterprise accounts, ideally in a subscription- or consumption-based model.
- Excellent communication and presentation skills with technical teams and senior business or IT executives.
- Ability to manage multiple complex opportunities independently and collaboratively.
- Based in Malaysia and able to travel within the region as needed.
Nice to Have
- Experience with Snowflake or similar cloud-native data platforms, including data ingestion and transformation, performance tuning, cost governance, security, data masking, and governance.
- Familiarity with AWS, Azure, or Google Cloud and their data and analytics ecosystems.
- Understanding of Financial Services and Telecommunications regulatory and compliance requirements, including data residency and Bank Negara Malaysia guidelines.
- Experience with Tableau, Power BI, Looker, or data science and machine learning frameworks.
- Prior field pre-sales experience at a data platform, cloud provider, or analytics or AI company.
Skills
Snowflake, SQL, Python, AWS, Azure, GCP, Hadoop, Spark, Tableau, Power BI, Looker, Data Warehousing, Machine Learning, Data Governance, Data Modeling
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