Required Skills: ETL development, Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, data warehousing, data lakes, lakehouses, data integration, cloud-native architecture
Job Description
We are seeking a Senior Data Architect with strong ETL development and Snowflake experience to design and implement scalable, secure, cloud-native data solutions. The role involves defining data architecture, optimizing data pipelines, enabling analytics and AI capabilities, and aligning solutions with business and enterprise technology requirements.
Key Responsibilities
- Design end-to-end data architectures, including data warehouses, lakes, lakehouses, and analytics platforms.
- Develop and optimize ETL/ELT pipelines, data integration, and transformation workflows using Snowflake and modern data tools.
- Define cloud data architecture standards, governance, security, and performance optimization strategies.
- Collaborate with business stakeholders, engineering teams, and vendors to deliver scalable data solutions.
- Enable advanced analytics, AI/ML, and Generative AI capabilities through modern data platforms.
Required Qualifications
- Bachelor's degree in Computer Science or a related field and 10+ years of relevant experience.
- Strong ETL development experience with hands-on Snowflake expertise.
- Experience with modern data platforms and tools such as Matillion, Microsoft Fabric, Power BI, and Tableau.
- Expertise in data warehousing, data lakes/lakehouses, data integration, and cloud-native architecture.
- Azure cloud experience preferred; knowledge of data governance, security, and data quality required.
- Excellent communication, stakeholder management, and solution architecture skills.