Help shape the future of our data architecture by designing and implementing robust data pipelines, defining data governance standards, and ensuring the data platform is scalable, reliable, and secure to support mental healthcare access across the United States.
Responsibilities
Design, build, and maintain scalable data pipelines and infrastructure
Define, develop, and refine data governance, monitoring, and quality standards
Identify and lead platform projects for self-service and standardization
Partner with Product and Engineering to advocate for best practices in data engineering
Work cross-functionally with Analytics, Data Science, and Infrastructure to evolve data architecture
Data Test Engineer II / SDET II responsible for designing, developing, and maintaining robust data testing and automation solutions for enterprise data platforms and related applications.
Responsibilities
Participate in all phases of the Agile development process
Design, develop, and maintain scalable test automation frameworks for enterprise data platforms, data pipelines, APIs, backend services, and data-centric applications
Collaborate with data engineers, developers, product managers, business analysts, data stewards, and platform teams to understand requirements and define test strategies
Implement automated test cases to validate source-to-target mappings, ETL/ELT workflows, data transformations, data quality rules, reconciliations, and business logic
Perform functional, regression, integration, system, and data validation testing using automation tools and repeatable test data approaches
Requirements
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Data Analytics, or related field
Help run the reporting that teams across the group rely on every day, building new reports, data pulls, and small automations in SQL and Python using AI coding tools.
Responsibilities
Run the daily, weekly and monthly reporting cycle for teams across the group, checking the figures before they go out
Act as the first point of contact for data requests from any department: scoping them, agreeing a realistic date and meeting it
Build new reports, data pulls and small automations in SQL and Python using AI coding tools
Turn manual, repeated tasks into scheduled processes that run without anyone touching them
Monitor daily pipeline health alerts, resolve routine failures and escalate the rest with the detail needed to fix them
Requirements
Experience working with data, whether that’s a placement, a degree, a personal project or a few years in an analyst role
As a Technical Architect based in Singapore, you will work hands-on with customer and partner teams to design, build, and launch data solutions that solve real business problems for customers across Asia Pacific using the Snowflake AI Data Cloud.
Compensation
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 http://careers.snowflake.com
Responsibilities
Design and deliver customer solutions on Snowflake across data warehousing, open lakehouse with Apache Iceberg tables, data engineering, and secure data sharing
Build batch and streaming ingestion and data transformation pipelines using Snowflake features like Openflow, dbt projects on Snowflake,Snowpipe, Streams and Tasks, Dynamic Tables, and Snowpark (Python, Java, or Scala)
Implement Snowflake security and governance best practices, including role-based access control, masking and row access policies, data quality framework and Snowflake Horizon Catalog
Design and implement open lakehouse architectures leveraging Snowflake-managed Iceberg tables & interoperability with open table formats
Architect & enable secure, zero-copy data collaboration across business units and external partners utilizing Snowflake Data Sharing, Secure Views, and Clean Rooms
Requirements
Degree in computer science, engineering, or a related field, or equivalent practical experience
Lead the design and scaling of a unified data platform for Redfin’s enterprise data organization, serving as chief architect and technical north star.
Compensation
The compensation for this position is $234,000.00-$286,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off.
Responsibilities
Design and implement a unified, open-format Data Lakehouse on Snowflake and AWS S3
Architect and scale resilient, high-throughput ingestion frameworks for batch, micro-batch, and real-time streaming
Design a sovereign, domain-oriented data mesh within a single Snowflake environment
Spearhead deployment of a Universal Semantic Layer on top of Gold-tier data
Define technical standards for Medallion data flow and standardize ELT patterns using dbt, PySpark, and Snowpark
Integration Engineer responsible for designing, implementing, and supporting application integration pipelines using a variety of integration tools and platforms.
Responsibilities
Write technical specifications based on business analyst requirements
Manage technical implementation of integration flows using Amplify Fusion, Talend, Axway API Gateway, Workday Studio, Fivetran
Troubleshoot issues, identify root causes, resolve bugs and errors on implementations
Provide level 2 support on implementations
Work closely and collaboratively with business teams
Lead the strategy and execution of a team of analytics engineers, driving the vision for analytics at Nourish.
Responsibilities
Lead and develop a team of Analytics Engineers: lead planning and prioritization; provide technical and analytical guidance; hold the bar on execution; help hire new team members.
Define and deliver the analytics roadmap across data modeling, business intelligence, and AI-enabled analytics. Establish technical standards that help the team scale.
Deliver high-impact insights: lead analyses of ambiguous problems; proactively identify opportunities; partner with leadership on solving complex and impactful analytics questions.
Build and maintain a robust data foundation: Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth.
Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions.
Lead engagement teams in data management, governance, and analytics to deliver business value for clients.
Compensation
The base salary for this job is $179,475.00 per year.
Responsibilities
Demonstrate in-depth data management and governance knowledge
Design methodology and execute activities to identify business needs
Utilize data strategy and governance to highlight client challenges
Gather AI Ready Data and leverage for client goals
Analyze data using Enterprise Intelligence
Requirements
Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
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