Data Architect
Required
About Howdy
Howdy.com, founded in 2018 and headquartered in Austin, Texas, helps US companies who want to hire, manage, and retain their teams in Latin America (LatAm) directly but need help with multinational logistics, contracts, compliance, and culture. Companies that use Howdy.com get the best talent available in LatAm and gain access to an entire network and a thriving community of professionals who are changing the world. By partnering with Howdy.com, companies can expand their physical presence into some of the fastest-growing economies in LatAm.
Howdy.com is a member of Y Combinator and has garnered significant support from prominent investors, including Greycroft and Obvious Ventures. The company raised over $20 million in a series A venture capital round.
Our core values
#1 Sports Team: At Howdy, we win together. From players to support, everyone is vital to our success. We hire for excellence, prioritize teamwork, and strive for continuous improvement. We collaborate, seek advice, and actively contribute to Howdy's victories.
Altruism: Demonstrating altruism involves prioritizing the team and assuming the best in others. We communicate openly, provide honest feedback, and extend grace. Altruism is selfless service, focusing on supporting our players and team growth.
Curiosity: Being curious at Howdy means having the willingness to learn, adapt, and explore new ideas. We question existing beliefs, embrace humility, and see curiosity as our superpower. Demonstrating curiosity involves researching unfamiliar tasks, asking questions to understand the full picture, and seeking better ways to complete routine tasks.
Have Spirit: Having spirit at Howdy is about celebrating wins, building a sense of community, and bringing positivity. Demonstrating spirit involves attending events, getting to know teammates, participating in challenges, and proudly wearing the Howdy swag. Simply put, it's about bringing a super-fan spirit to work every day.
Data Architect
Desired Skills:
- B2 and above English level
- + 8 years of experience in data architecture, data engineering, or related technical roles.
- + 4 years of professional experience with Python and SQL
- Proven track record designing and delivering cloud data platforms and implementing governed and scalable data pipelines using Microsoft Fabric or Databricks
- Deep hands-on experience with medallion architecture (Bronze, Silver, Gold layers) and associated transformation patterns.
- Proficiency in SQL, data modeling (dimensional or star schema), and ETL/ELT design patterns.
- Strong understanding of cloud ecosystems (i.e., Azure, AWS, GCP) and services like Data Lake, Synapse, or BigQuery.
Responsibilities
- Architect and implement a cloud-native data warehouse or lakehouse using platforms like Databricks, Microsoft Fabric, Apache Spark, or equivalent.
- Define and enforce data architecture standards, best practices, and frameworks such as medallion or layered architecture.
- Design data models and schemas that optimize for performance, scalability, and usability across business domains.
- Develop data ingestion, transformation, and integration strategies using tools such as Azure Data Factory, Synapse, AWS Glue, and Fabric Data Pipelines.
- Provide thought leadership on how to structure data to enable analytics, self-service BI, and data governance.
- Guide and collaborate with data engineers to ensure the architecture is properly implemented and maintained.
- Design and validate semantic models to support Power BI, Tableau, and Fabric reporting layers.
- Conduct architecture reviews, performance tuning, and data quality assessments to ensure system efficiency and trustworthiness.
- Translate complex technical architecture into clear and actionable plans for both technical and non-technical audiences.
Who you are:
- You are a motivated and self-directed Data Engineer/Architect who wants to deliver real business value
- You help your team and peers align to the company vision and mission
- You consistently leave code and projects better than you found them
Some Benefits
Some benefits:
- 🏢 Offices in some cities
- 🖥️ 100% remote work
- ⌚ Full-time schedule, flexible according to objectives
- 🏖️PTO & holidays
- ⚕️Medical insurance