We are looking for a Staff Data Engineer to lead the evolution of Latch’s data platform, and build data products for internal and external customers. Come join us and start creating greatness.

Responsibilities

• Evolve and implement a comprehensive data strategy that aligns with Latch’s goals and objectives.
• Advocate for a data-driven culture by promoting the use of data in decision-making and encouraging its integration into daily business operations.
• Ensure data quality, accuracy, and consistency through the development of data governance processes and data management practices.
• Build capabilities for internal data privacy and regulatory compliance
• Operationalize Latch’s data platform by applying DataOps and MLOps principles.
• Lead the development of data and Machine Learning products for internal and external customers. Lead innovation to convert ideas into products.
• Continuously improve on Latch data technology roadmap to support ever-growing analytic and operational business requirements.
• Provide a strong technical leadership and mentorship for the data engineering team.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 8 years of experience in data architecture, data engineering, or a related field. Strong understanding of data architecture principles and practices, including data modeling, data warehousing, and data integration.
• At least 3 years of enterprise experience with data governance, data access, data lineage, data monitoring, and security controls. Experience with Snowflake, DBT, and FiveTran is strongly preferred.
• Expert level of understanding in SQL.
• Expert knowledge of database and data warehousing technologies, schema design, and query optimization techniques.
• Experience in data and data pipeline operationalization.
• Excellent interpersonal and communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.