Data Architect
Data Warehousing and ETL Expertise: The candidate has extensive experience in designing, implementing, and managing data warehouses and data marts, including experience with cloud-based solutions like Snowflake. They are proficient in ETL processes, using tools like Matillion, SSIS, and SQL to build and manage data pipelines. This highlights their ability to handle complex data integration and transformation tasks.
Progressive Leadership in BI: This individual has consistently taken on increasing responsibility in the BI field, progressing from developer to manager to director. They have a proven track record of building and leading teams, implementing BI solutions, and driving data strategies. This demonstrates a strong understanding of BI best practices and the ability to translate business needs into effective data solutions.
Strong Communication and Collaboration: Throughout their career, this individual has consistently demonstrated the ability to collaborate with stakeholders across different departments, understand their needs, and translate those needs into technical solutions. They have experience in communicating complex technical concepts to non-technical audiences, facilitating data governance, and leading cross-functional teams. This emphasizes their ability to bridge the gap between business requirements and technical implementation.
About Data Architect
A highly experienced data professional with over 25 years of expertise, this individual possesses a proven track record in data architecture, business intelligence, and database management. From hands-on technical roles to leadership positions, they have consistently delivered impactful data solutions, including enterprise data warehouses, data migrations, and self-service reporting portals. Proficient in modern tools like Snowflake, Creatio, and Power BI, they excel at leading teams, collaborating with stakeholders, and driving data-informed decision-making. Their career progression demonstrates a strong ability to not only execute technical tasks but also develop and implement data strategies that support business objectives.
Skills
Cloud Platforms
AWS, Azure, Snowflake, Salesforce
Databases
Microsoft SQL Server, Oracle SQL Developer, Snowflake, Google BigQuery
ETL
SSIS, SAP Data Services, Matillion, DTS
Programming
Visual Basic, MS Access, Python