Senior Data Platform Engineer II

As a Senior Data Platform Engineer II, you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing, analytics and reporting. Leveraging your deep expertise in ETL technologies, Azure cloud services, and Snowflake, you will architect robust data pipelines, ensure data quality, and enable seamless data integration across systems. You will collaborate closely with data architects, analysts, and business stakeholders to deliver high-performance, cost-effective data solutions that align with organizational goals. Your role will also involve mentoring junior engineers, promoting best practices, and driving continuous improvement in data engineering standards and platform reliability.

Key responsibilities:

• Design, develop, and maintain end-to-end distributed data pipelines to support analytics, reporting, and operational workflows.
• Build and optimize enterprise level data ingestion, transformation, and loading processes using modern ETL frameworks and cloud-native tools.
• Architect and administer Snowflake data warehouses, including performance tuning, resource management, and security configurations.
• Leverage Azure cloud services (Data Factory, Data Lake, Synapse, Functions, etc.) to build scalable and efficient data solutions.
• Develop and enforce data quality, data governance, and metadata management practices.
• Partner with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Implement monitoring, alerting, and automation to ensure reliability and scalability of data platforms.
• Maintain strong documentation and adhere to SDLC and DevOps best practices.
• Mentor junior engineers and contribute to the evolution of data engineering best practices and standards.
• Work with cross-functional teams—business analysts, product teams, and developers—to gather data requirements and translate them into technical solutions.

Years of Experience

• 8+ years of experience required, preferably within the financial services domain (investment bank, asset management, etc.).

Qualifications

• Bachelor’s degree in computer science, mathematics, or related engineering field required.

Required Skills & Qualifications:

• Strong proficiency in Snowflake and related cloud-based platforms like Fivetran, dBT, etc.
• Hands-on experience with SQL, Python, or other scripting languages.
• Expertise in data modelling, data pipeline design, ETL tools, and MDM platforms preferably in the financial services/ asset management domain.
• Basic understanding of asset management concepts and terminology
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication skills and ability to engage directly with stakeholders across the globe.

Core Values

• Strong interpersonal, oral, and written communication and collaboration skills with all levels of management
• Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines,
• Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.
• Highly resourceful and collaborative team-player, with the ability to also be independently effective and exude initiative and a sense of urgency.
• Exemplifies our customer-focused, action-oriented, results-driven culture.
• Forward looking thinker, who actively seeks opportunities, has a desire for continuous learning, and proposes solutions.
• Ability to act with discretion and maintain complete confidentiality.
• Dedicated to the firm’s values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.