Snowflake · Pune
Senior Technical Architect, Data Engineering
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...
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; you possess an innate
curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for
low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test
emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a
function, but to help redefine the future of how work gets done.
Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. 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.
As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers
during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will
engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines
and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act
as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve
impactful outcomes and thoughtfully use AI to augment their business
In addition to customer engagements, you will work with our internal team to provide requirements for our Snowconvert utility,
based on project experiences. This ensures that our tooling is continuously improved based on our implementation experience. This
role will report to the Director of specialised Workload Solutions team within the PS&T organization at Snowflake.
KEY RESPONSIBILITIES:
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:
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
- 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
Experience with Cloudera platform and migrations from Cloudera
Familiarity with AI/ML and Transformation technologies
Familiarity with ML Ops standard practices
Familiarity with prompt engineering techniques
Ability to deliver outcomes for customers in a new arena and with a new product set
Ability to learn new technology and build repeatable solutions/processes
Ability to anticipate project roadblocks and have mitigation plans in-hand
- Proven ability to communicate and translate effectively across multiple groups from design and engineering to client executives
and technical leaders
- Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using
presentations
Ability and flexibility to travel to work with customers on-site as needed
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's
duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who
share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and
Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits
information: careers.snowflake.com
Roll
Senior Technical Architect, Data Engineering
Plats
Publicerad
29 juni
Sista ansökningsdag
17 augusti