Position Overview

Our Client is in search of a Data Architect who exhibits deep technical expertise and proficiency in spearheading the design and execution of enduring data initiatives. This position involves the crafting, development, and deployment of comprehensive data solutions within our organization, leveraging essential technologies such as Azure, Snowflake, Airflow, and SQL Server. Ideal candidates will possess a robust background in data engineering and have demonstrated capabilities in delivering complete data lifecycle solutions. You will play a crucial role in structuring project outputs and guiding teams to achieve success through efficient and impactful project completion.

Key Responsibilities

• Conceptualize and construct resilient, high-performance data solutions utilizing Snowflake, dbt, Airflow, and SQL Server to fulfill organizational objectives.
• Forge enterprise-grade data models and architectural frameworks with a focus on functionality, cost-efficiency, scalability, reusability, and security.
• Interpret requirements to influence solution architecture, spearhead development phases, and supervise the deployment phase in a large-scale business environment.
• Exhibit technical guidance in the administration, support, and enhancement of company data, streamlining data accessibility, reducing redundancies, and merging various data entities into singular enterprise-level models.
• Recognize and address strategic data/workflow discrepancies and champion the adoption of innovative technologies and methodologies.
• Lead and supervise a Scrum team, coordinating project tasks, allocating responsibilities, and monitoring project advancement.
• Design and execute data governance and security strategies to safeguard data integrity and ensure adherence to regulatory compliance.
• Engage with interdisciplinary teams to pinpoint data-centric opportunities and deliver strategic insights.
• Execute data examinations, profiling, and validations to guarantee data precision and integrity.
• Remain informed on the latest industry developments, standards, and practices in data architecture, engineering, and management.

Qualifications

• A Bachelor's degree in computer science, statistics, engineering, or a related discipline, with a preference for advanced degrees.
• Over 8+ years of professional experience in roles such as Data Engineer or Developer, showcasing a strong technical command over Snowflake, dbt, Airflow, SQL, and other pertinent technologies.
• Expertise in both relational and dimensional modeling, along with a proven track record of working alongside finance professionals in high-pressure scenarios.
• Deep familiarity with the principles of fixed income and asset management, with a history of developing data solutions for financial entities covering a range of asset types.
• Proficient in both traditional and modern data management tools and platforms, including but not limited to SSIS, SSRS, and SQL Server.

Desired Skills

• Preference is with experience in large-scale data solutions and migrations, especially those with familiarity with BlackRock Aladdin.
• Background in data warehouse establishment for investment firms, particularly those on the buy-side.
• Experience with integrating data from external providers.