Vice President, Business Data Architecture

Job description

**Job Description** **Vice President, Business Data Architecture** We are looking for a **Vice President, Business Data Architecture** who is passionate about building robust, scalable, and efficient data solutions. The ideal candidate will have strong expertise in **ETL development** , **Snowflake** , and modern **cloud-based data platforms** , along with understanding in **Power BI** for analytics and reporting. This role demands a solid understanding of **data engineering principles** , **ETL concepts** , and **financial domain knowledge** . As an individual contributor, you will be responsible for designing and implementing end-to-end data pipelines, ensuring data quality, and enabling actionable insights for business stakeholders. Strong communication skills, a proactive mindset, and the ability to work independently in a dynamic environment are essential. **Key Responsibilities** - Design, develop, and maintain data pipelines and ETL workflows for ingestion, transformation, and integration. - Build and optimize solutions on Snowflake and other cloud data platforms. - Leverage ETL tools such as Informatica, Pentaho, or Azure Data Factory (ADF) to deliver scalable data solutions. - Implement best practices for data modeling, performance tuning, and data governance. - Develop and manage Power BI dashboards and reports to support business intelligence initiatives. - Collaborate with cross-functional teams to understand requirements and deliver technical solutions aligned with business goals. - Ensure compliance with security and regulatory standards for financial data. - Drive projects independently, managing timelines and quality expectations. **Required Skills & Qualifications** - Proven experience as a Data Engineer with strong knowledge of ETL concepts, data warehousing, and data architecture. - Experience with Python and SQL for automation and advanced data processing. - Knowledge of CI/CD pipelines, DevOps, and data orchestration frameworks. - Hands-on experience with Snowflake and at least one ETL tool (Informatica, Pentaho, or ADF). - Familiarity with cloud database technologies and modern data engineering practices. - Understanding of Power BI and BI platform infrastructure. - Strong understanding of financial domain concepts. - Excellent problem-solving, communication, and interpersonal skills. - Self-driven, motivated, and capable of delivering high-quality solutions independently. - Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. - Certifications in Cloud Data Platforms or Snowflake are a strong plus. - 6 – 8 years of experience as Data Engineer.