Solve Package Management Permanently
Solutions Engineer
Location
United States
Posted
3 days ago
Salary
$149K - $175K / year
No structured requirement data.
Job Description
- Customer requirements and advocacy
- Meet with Fetch B2B partners to share product knowledge and development lifecycle
- Identify partners’ needs and transform them into practical business requirements
- Offer guidance to partners and internal stakeholders in understanding and deriving value from shared data through requirements gathering, technical guidance, and individual consultation
- Track and report status on partners’ feature requests, data issues, and incident reports
- Promptly address partner and stakeholder questions with a sense of ownership and urgency
- Cross-functional collaboration
- Collaborate with cross-functional teams to improve data product quality and performance
- Provide actionable feedback on current data product performance and proposed changes
- Manage planning and prioritization for operational support and product development
- Data model and pipeline expertise
- Maintain expertise in Fetch data pipelines and modern data management techniques to contribute to complex data pipeline projects with broad visibility
- Model and analyze data utilizing SQL best practices for OLAP / OLTP query and database performance
- Leverage Data Build Tool (DBT), Snowflake, Airflow, AWS infrastructure, CI/CD, testing, and engineering best practices to accomplish your work
- Data product oversight and innovation
- Design, coordinate, and develop innovative approaches to managing datasets involving millions of daily active users and terabytes of data
- Translate business requirements for data exports and near-real-time actionable insights into data models and artifacts
- Communicate findings clearly verbally and in writing to a broad range of stakeholders
- Lead the charge on data documentation and data discovery initiatives
- 3+ years of professional experience in a technical role requiring advance knowledge of data pipelines, data integration, and data quality initiatives
- Experience in requirements analysis and functional specification authorship
- Experience in understanding business and data problems areas and devising actionable solutions
- Project management experience using Jira or similar task management platforms
- Experience writing optimized SQL for processing efficiency
- Experience with data modeling and orchestration tools
- Strong experience with SQL-based analytical data warehouses (e.g., Snowflake), and familiarity with object storage and non-relational data stores used in production systems (e.g., S3, DynamoDB).
- Experience owning and operating an ETL and ELT processes, data warehouses, and business intelligence tools
- Experience clearly communicating about data with internal and external stakeholders and senior leadership from both technical and nontechnical backgrounds
- Ability to thrive in a highly autonomous, matrixed organization and manage multiple, concurrent work streams
- Proficiency in at least one imperative programming language (i.e., Python)
- Experience deploying and managing cloud resources on AWS, Azure, or GCP
- Experience implementing data quality, data governance, or disaster recovery initiatives
- Proclivity for building and experimenting with different tools and tech, and sharing your learnings with the broader organization
- Experience building reusable code and automation, including using infrastructure-as-code tools such as Terraform.
- Experience in measurement or AdTech
Job Requirements
- 3+ years of professional experience in a technical role requiring advanced knowledge of data pipelines, data integration, and data quality initiatives
- Experience in requirements analysis and functional specification authorship
- Experience in understanding business and data problem areas and devising actionable solutions
- Project management experience using Jira or similar task management platforms
- Experience writing optimized SQL for processing efficiency
- Experience with data modeling and orchestration tools
- Strong experience with SQL-based analytical data warehouses (e.g., Snowflake), and familiarity with object storage and non-relational data stores used in production systems (e.g., S3, DynamoDB)
- Experience owning and operating ETL and ELT processes, data warehouses, and business intelligence tools
- Experience clearly communicating about data with internal and external stakeholders and senior leadership from both technical and nontechnical backgrounds
- Ability to thrive in a highly autonomous, matrixed organization and manage multiple, concurrent work streams
- Proficiency in at least one imperative programming language (i.e., Python)
- Experience deploying and managing cloud resources on AWS, Azure, or GCP
- Experience implementing data quality, data governance, or disaster recovery initiatives
- Bonus Points (Preferred Requirements)
- Proclivity for building and experimenting with different tools and tech, and sharing your learnings with the broader organization
- Experience building reusable code and automation, including using infrastructure-as-code tools such as Terraform
- Experience in measurement or AdTech
- Compensation
- At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $149,523 - $175,909. Discover our benefits and how our employees live rewarded at https://fetch.com/careers .
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