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.