Snowflake Senior Data Engineer

About Data & AI Department We are an experienced and multinational team consisting of talented engineers to design, deploy and develop data product solutions such as MDM, CDP or data products for BI/AI. Our team has a mission to consult our clients to be sure they will have the right solution to fit the current data journey and its future journeys. About The Role As a Senior Data Engineer (Snowflake), will develop end-to-end Snowflake solutions for enterprise clients, aligning data strategies with business goals , compliance and technical requirements. Driven design and implementation of scalable data foundation platforms, including data ingestion, transformation (using dbt and SQL), security, and performance tuning within Snowflake and its integration with 3rd party products . Collaborate with cross-functional teams to assess current-state architectures, define future-state roadmaps, and oversee cloud data migrations from legacy systems. Advised and trained clients on best practices around Snowflake features such as data sharing, data governance, zero-copy cloning, role-based access control, and cost optimization, Cortex AI. Acted as a trusted advisor throughout the engagement lifecycle, ensuring scalable, secure, and high-performing data ecosystems. Responsibilities Drive and consult our clients to ensure they will have right solutions to solve their use cases.Lead the design of scalable, secure Snowflake data platforms tailored to client needs.Drive end-to-end solution delivery, including data ingestion, transformation, and consumption layers.Collaborate with stakeholders to gather business requirements and translate them into technical solutions.Guide data migrations from legacy systems to Snowflake, ensuring minimal disruption and maximum performance.Implement best practices for Snowflake features such as virtual warehouses, data sharing, and RBAC, AI agent.Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).Optimize performance and cost through resource monitoring, query tuning, and workload management.Integrate Snowflake with ecosystem tools (e.g., dbt, Fivetran, Airflow, Tableau, Power BI, Streamlite).Provide technical guidance and mentoring to engineering teams and client team.Support pre-sales activities, including technical assessments, solution demos, and proposal development.Support AI solutions with a strong data foundation design and development.Ensure compliance with data governance, privacy, and security standards across architectures.Develop and maintain best practice of delivering clean and compliant data pipelines.Responsible for Technical Solution design documents.Stay up-to-date with industry trends, best practices, and emerging technologies related to data. Qualifications 5+ years of relevant experience in data engineering,architecture, analytics and AI roles.English professional proficiency3+ years of hands-on experience with Snowflake, including advanced features and performance tuningStrong expertise in SQL and data modeling (dimensional, normalized, and data vault)Experience in tool like DBTExcellent communication and client-facing consulting skillsExperience in consultancy.Proficiency in scripting or programming (e.g., Python, Java) for data pipelines and automationExperience with ELT/ETL tools such as dbt, NiFi, Fivetran, Airflow, Pentaho, openflow or InformaticaKnowledge of data modeling , semantic layer and data architecture.Experience in AI tools to support development (Claude , Cortex Code …) Experience in developing data flow for AI (RAG, Gen BI , …)Exposure to Cortex AI (AI search , Document AI, …)Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.Strong communication skills to effectively explain technical concepts to non-technical stakeholders.Ability to work independently and collaboratively in a team environment and with customers.Knowledge of data governance, security (RBAC, encryption), and compliance practicesFamiliarity with BI/reporting tools (e.g., Tableau, Power BI, Looker, streamlite application)Snowflake certifications (e.g., SnowPro Core or Advanced Architect) are a strong plus Extra points if you have Thai language fluencyGood communication skills in English Any certification in AWS or Azure.CI/CD experience (github, devops and liquid)Experience in Fabric, Databricks, Big QueryExperience with docker, Kubernetes.Worked in more than one project and with various tech stacks.SI Vendor industry experience.Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.Familiarity with statistical analysis and machine learning concepts is a plus. About Us Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more. Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.For more information please visit https://sevenpeakssoftware.com and https://morphos.is/ Benefits 10(15) days annual paid vacationFlexible working hoursHybrid Working PolicyHealth & Life insuranceProvident FundFree Lunch every WednesdayLearning and Certifications supportGrade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit StationInternational work environment with over 20 different nationalities in the teamWorking with a wide and interesting portfolio of clients in SEA and globallyOpportunity to visit events and conferencesStandard perks such as free drinks and snacks in the office, team activities, trips and great parties