
Data Solutions Architect
7 days ago
We are seeking an experienced Solution Engineer to join our Product and Technology team. This role involves connecting technology, data, and client needs to develop impactful data solutions.
About the RoleThis is a remote-first position that requires flexibility, collaboration, and innovation. We work on projects like Amazon competitive intelligence in small, focused teams.
Key Responsibilities- Data Solution Development: Build data solutions based on specifications.
- Quality Assurance: QA custom datasets for clients.
- Collaboration and Troubleshooting: Collaborate with engineering and data teams to resolve data issues and create delivery pipelines.
- Reporting and Analytics: Create automated queries, reports, and dashboards to demonstrate data value.
- Project Coordination: Coordinate with Customer Success, Support, and Professional Services to manage timelines and onboarding.
- Documentation: Develop onboarding materials like guides and FAQs.
- Customer Support: Assist PM and TAM during customer calls regarding data.
- Team Communication: Participate in team communications via Scrum meetings and Slack.
- Experience: At least 3 years of experience working directly with customers on data integration and utilization.
- Analysis and Integration: Over 5 years of experience in data analysis and integration.
- Problem-Solving: Strong problem-solving and troubleshooting skills.
- Technical Skills: Proficiency in SQL and Python.
- Time Management: Ability to manage multiple commitments and set stakeholder expectations.
- Attention to Detail: Attention to detail and quality ownership.
- Communication: Effective communication skills to collaborate across teams and explain technical concepts to non-technical stakeholders.
- Personal Growth: Growth mindset and continuous improvement attitude.
- Flexibility: Work remotely with flexible hours.
- Innovation: Be part of a fast-paced, customer-focused team.
- Professional Development: Opportunities for growth and continuous learning.
- E-commerce Experience: Experience in e-commerce.
- Data Knowledge: Knowledge of Data Lakes (S3/Glue), modern data warehouses (Snowflake, Redshift, BigQuery), and reporting tools (Tableau, PowerBI, Looker).
- Integration Systems: Experience with data integration systems like FTP, S3, GCP, Azure.
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