Senior Solution Engineer

Role Title: Senior Solution Engineer

ECLARO: A quick Summary

ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client’s needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E® Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

About The Role

We’re growing and we are looking to add a Senior Solution Engineer - Data Cloud to our fast-paced and customer-oriented Product and Technology team. This is the perfect role for someone who wants to connect the dots between technology, data, and customer needs to activate impactful data solutions.

Our team thrives in a fast-paced, customer-centric environment, always pushing the boundaries of data and technology. As a remote-first company, we value flexibility, collaboration, and the drive to solve complex problems, embracing constraints to foster creativity. Working in smaller, focused pods, we tackle innovative projects in Amazon competitive intelligence with a scrappy mindset.

Day In The Life Of a Senior Solution Engineer

• Build data solutions from a provided specification
• QA a custom dataset that you’ve built for a customer
• Collaborate with engineering and data teams as needed to resolve questions; troubleshoot an anomaly in the data a customer is receiving
• Collaborate with with engineering and data teams to create delivery pipelines for custom data
• Create automated queries, reports, and internal dashboards to illustrate the value of data for sales enablement
• Collaborate with Customer Success, Customer Support, and Professional Services to manage customer timelines and support onboarding processes
• Support the creation of onboarding guides, FAQs, queries, and other materials to accelerate customer enablement
• Support PM and TAM with customer calls on data
• Connect with the team through a combination of scrum meetings and Slack updates
  
  

Who You Are

• You bring 3 years of working with customers to integrate and leverage data.
• You bring 5 years of data experience doing data integration and analysis.
• You can effectively manage multiple commitments and timelines and set appropriate expectations with all stakeholders.
• You have strong problem solving and troubleshooting skills for identifying and resolving issues in data pipelines and systems.
• You possess strong programming skills in SQL and Python.
• You take ownership and accountability of the quality of your work.
• You keep the customer top of mind in everything you do. You understand the importance of supporting data solutions that meet business needs and provide actionable insights for our customers.
• You have strong attention to detail and quality. You take pride in the quality of your work.
• You are an effective communicator and can collaborate with cross-functional teams, understand data requirements, and explain technical concepts to non-technical stakeholders.
• You champion the #excellence principle - you aren’t content and old an ever-escalating level of expectations. You continue to raise the bar for yourself, the team and the company. You embrace a growth-mindset, think big, challenge how things have been done and evolve them to higher standards.
  
  

Bonus Points

• Experience in e-commerce
  
  

Must Have Technical Skills

• Expertise in SQL for data analysis
• Experience with Python for data analysis and automation
• Experience building and troubleshooting ETL and data pipelines
• Experience working with Data Lakes (S3/Glue preferred)
• Experience with modern data warehouses like Snowflake, Redshift, BigQuery
• Experience with reporting infrastructure (Tableau, PowerBI, Looker, etc)
• Experience with common data integration patterns and systems (FTP, S3, Snowflake, GCP Filestore, Azure Blog Storage)
• Experience with a BI Tool (Tableau, Looker, PowerBI, etc)