About us:
Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
About the Role
We are looking for a Senior BI Engineer to join our team and lead the analytics and reporting workstream of a large-scale AWS data platform modernization. You will be responsible for designing semantic data models, standardizing enterprise KPI definitions, building executive and self-service dashboards, migrating legacy Power BI workloads to Amazon QuickSight, and enabling natural language and AI-assisted analytics experiences.
The ideal candidate has deep expertise in Amazon QuickSight, dimensional data modeling, semantic layers, and BI storytelling, along with hands-on experience translating complex business requirements into trusted, governed, and scalable reporting solutions.
Location: Remote
Experience Required: 5+ Years
Employment Type: Contract
Key Responsibilities
- Design and build executive dashboards covering key business, operational, and performance metrics.
- Develop longitudinal cohort analysis and self-service analytics capabilities for business stakeholders.
- Build and optimize Amazon QuickSight semantic datasets, including SPICE capacity, refresh, and performance tuning.
- Migrate prioritized Power BI dashboards and reports to Amazon QuickSight.
- Partner with data engineering to define semantic layers, canonical data models, and standardized enterprise KPI definitions across multiple business units.
- Contribute to the enterprise business glossary, data dictionary, and KPI catalog, ensuring consistent business definitions across all reporting.
- Support natural language and conversational analytics experiences, enabling business users to query metrics in plain language.
- Configure knowledge repositories that leverage the business glossary, KPI catalog, and semantic definitions for AI-assisted data exploration.
- Conduct dashboard validation, user feedback sessions, and iterative refinement with business stakeholders.
- Establish reporting standards, row-level security, and governance for dashboards and datasets.
- Participate in UAT, production deployments, knowledge transfer, and post-production support.
Required Skills & Qualifications
- 5+ years of experience in Business Intelligence, analytics engineering, or a closely related field.
- Strong hands-on expertise with Amazon QuickSight (datasets, SPICE, calculated fields, parameters, RLS, dashboard design).
- Proven experience migrating from Power BI to QuickSight (or comparable BI-to-BI migrations).
- Strong SQL skills, including complex queries, window functions, and performance tuning.
- Solid understanding of dimensional data modeling, semantic layers, and star/snowflake schemas.
- Experience defining and standardizing enterprise KPIs, business glossaries, and data dictionaries.
- Working knowledge of the AWS analytics stack, including Amazon Redshift, Amazon Athena, and Amazon S3 as reporting sources.
- Experience building self-service analytics environments and enabling non-technical business users.
- Strong data storytelling and dashboard UX skills; ability to translate ambiguous business needs into clear, actionable visuals.
- Familiarity with Git, CI/CD, and version-controlled BI development practices.
- Excellent analytical, troubleshooting, stakeholder-management, and communication skills.
Preferred Qualifications
- Familiarity with Amazon Bedrock, natural language / conversational analytics, or LLM-assisted BI.
- Experience with Power BI (DAX, Power Query) for migration analysis.
- Knowledge of AWS Lake Formation, AWS Glue Data Catalog, and metadata/lineage tooling.
- Exposure to predictive analytics outputs and visualizing model results.
- AWS Certification (Data Engineer, Data Analytics Specialty, or Solutions Architect) is a plus.
Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR
