BNY - Vice President - Business Data Architecture

Description :

We are looking for a Data Engineer 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.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

- Certifications in Cloud Data Platforms or Snowflake are a strong plus.

- 6 - 10 years of experience as Data Engineer.