Senior Data Solutions Engineer

1-800-FLOWERS.COM, INC.; Jericho (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

1-800-FLOWERS.COM, INC. seeks a Senior Data Solutions Engineer to advance our Data Products & Platforms team. You will shape the analytics data layer, define standardized metrics, and enable high-quality reporting across the organization.

You will collaborate with business stakeholders, analytics partners, and data engineering to ensure data reliability and readiness for advanced analytics and AI use cases.

Qualifications

• Experience designing analytics-ready datasets in Snowflake and building scalable ELT pipelines.
• Ability to standardize KPIs and business logic across multiple teams.
• Proven capability to translate analytics needs into reusable data solutions.

Responsibilities

• Design and own analytics-ready datasets in Snowflake and ELT pipelines (e.g., Coalesce.io).
• Develop Snowflake semantic views to standardize KPIs and metrics.
• Serve as a thought partner to business stakeholders and data engineers.

Skills

Snowflake

ELT pipelines

Data modeling

Self-service analytics

BI tooling

Tools

Sigma

Power BI

Job description

We are seeking a Senior Data Solutions Engineer to join our growing Data Products & Platforms team. This role is designed for an experienced analytics professional who operates comfortably across analytics and data engineering, serves as a thought partner to the business, and takes ownership of delivering trusted, scalable, analytics-ready data products.

As a senior member of the team, you will play a key role in shaping the analytics data layer, defining standardized metrics and datasets, and enabling high-quality reporting and self-service analytics across the organization. You will work closely with business stakeholders, analytics partners, and data engineering teams to ensure data is reliable, well-documented, and ready to support advanced analytics and AI use cases.

What You’ll Do

• Design, build, and own analytics-ready datasets in Snowflake using curated ELT pipelines (e.g., Coalesce.io)
• Develop and maintain Snowflake semantic views to standardize business logic, KPIs, and metric definitions across teams
• Act as a trusted partner to business stakeholders by translating analytical needs into scalable, reusable data solutions
• Enable and support self-service analytics across BI tools such as Sigma and Power BI
• Establish and maintain clear documentation for datasets, metrics, and analytical models
• Proactively monitor, validate, and improve data quality, performance, and reliability
• Collaborate closely with data engineering and platform teams to evolve and optimize the analytics data layer
• Support AI and advanced analytics initiatives by delivering well-structured, high-quality datasets suitable for forecasting, machine learning, and generative AI
• Contribute senior-level guidance on analytics engineering best practices, data modeling standards, and dataset design