Senior Data Engineer / Snowflake Architect leading the design and optimization of data solutions. Working closely with clients and internal teams to build scalable architectures in a hybrid environment.
Responsibilities
Lead the design, development, and optimization of Snowflake-based data solutions for enterprise clients
Work closely with the client's internal architect and delivery teams to shape scalable, secure, and high-performing data architecture
Confidently challenge technical decisions when needed, bringing a strong point of view grounded in Snowflake best practices and modern data architecture principles
Assess current-state data platforms, pipelines, and patterns, then identify opportunities for improvement, simplification, modernization, and optimization
Design and implement robust batch and near real-time data pipelines to support analytics, reporting, and advanced data use cases
Develop and optimize data transformation layers using SQL, Python, dbt, and related modern data engineering practices
Drive Snowflake platform excellence across performance tuning, workload optimization, cost efficiency, data modeling, security and governance, and orchestration and automation
Proactively introduce and evaluate relevant Snowflake capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, data sharing, and other platform enhancements
Contribute to platform strategy discussions, including articulating the strengths and tradeoffs of Snowflake versus other modern data platforms
Partner with engineers, analysts, architects, and business stakeholders to deliver production-ready solutions in a fast-paced consulting environment
Support pre-sales, discovery, and technical advisory conversations when needed
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
7+ years of experience in data engineering, cloud data, or modern data platform roles
Strong hands-on experience with Snowflake development and architecture
Snowflake certification: SnowPro Core or any SnowPro Advanced certification
Strong command of advanced SQL and solid experience with Python for transformation, automation, and pipeline development
Proven experience designing and delivering end-to-end production data solutions
Strong understanding of data warehouse, lakehouse, and modern cloud data architecture patterns
Experience working directly with client stakeholders, architects, and technical leads
Ability to operate with confidence and credibility in front of client teams, including the ability to push back constructively and influence architecture direction
Experience with dbt or similar transformation and testing frameworks
Experience with ingestion and integration patterns using APIs, file-based ingestion, ELT platforms such as Fivetran or equivalent, and cloud-native services
Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
Experience working in Agile / Scrum delivery environments
Benefits
A strong culture of innovation and entrepreneurship
Occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts and other special events
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