Senior Specialist, Business Data Architecture

Job 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.