Technical Architect, Data Engineering

Навыки

• API (интеграции)
• Big Data
• Data Lake
• ETL / ELT
• HBase / Hive
• Kafka
• Лидерство

О компании и продукте

• At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers

Задачи

• Delivery
• Be well-versed in migrations of applications, code, and data onto cloud platforms - and how to lead design of the subsequent services onto Snowflake, including lakehouse architectures using Iceberg
• Have the ability to outline the architecture of Spark, Scala, and Cloudera environments
• Guide customers on architecting and building data engineering pipelines on Snowflake, including streaming data ingestion and processing
• Design and implement data ingestion and transformation pipelines using Apache NiFi. Architect and implement Iceberg based lakehouse solutions on Snowflake
• Run workshops and design sessions with stakeholders and customers
• Troubleshoot migration and implementation issues
• Create repeatable processes and documentation as a result of customer engagement. Scripting using Python and shell scripts for ETL workflow
• Develop best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
• Provide guidance on how to resolve customer-specific technical challenges
• Outline a testing strategy and plan
• Optimize Snowflake for performance and cost
• Design and implement solutions for streaming data ingestion and processing
• Product Strategy
• Communicate requirements for capabilities on Snowpark conversion for Scala/Python and Spark based back end software modules
• Communicate requirements for design and development of back end big data frameworks for enhancements to our Snowpark platform
• Weigh in on and develop frameworks for Distributed Computing, Apache Spark, PySpark, Python, HBase, Kafka, REST based API, and Machine Learning as part of our tools development (Snowconvert) and overall modernization processes
• Provide input on Snowflake's Lakehouse capabilities and integration with Iceberg
• Coach and guide customers on how to best use Snowflake’s suite of AI Tools
• OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE
• Experience in Data Warehousing, Business Intelligence, application modernisation, lakehouse implementations, or Cloud projects, including building realtime and batch data pipelines using Apache Spark and Apache NiFi
• Experience with implementing Apache Iceberg or other open table format(Delta, Hudi) based lakehouse solutions
• Experience with streaming data technologies and patterns

Требования

• A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity
• Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership
• Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI
• Bachelor's degree in a technical discipline or equivalent practical experience
• 7+ years of experience in a customer-facing technical role dealing with complex, technical implementation projects and with a proven track record of delivering results with multi-party, multi-year digital transformation engagements

Паспорт вакансии

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