Responsibilities:

- Leading data architecture and delivery workstreams from design through implementation for complex client programs.

- Developing data pipelines, integration patterns, and transformation logic across cloud and hybrid environments.

- Shaping data architecture strategies that align infrastructure, analytics, and business objectives.

- Applying systems thinking to identify root causes, architecture gaps, and improvement opportunities across data landscapes.

- Leveraging skills in Snowflake, Databricks, Azure Data Factory, Apache Airflow, and AWS to design scalable data solutions.

- Validating data quality, modeling approaches, and pipeline performance across warehouse, lake, and operational platforms.

- Guiding teams through ambiguous delivery challenges while balancing scope, risk, and timeline decisions.

- Coaching team members on engineering standards, data management practices, and issue resolution methods.

- Communicating technical tradeoffs and delivery progress to client stakeholders and internal leaders.

- Modeling professional and technical standards while driving operational excellence across multiple data initiatives.

What Sets You Apart:

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.

- Demonstrating data architecture leadership across complex delivery programs.

- Applying systems thinking to translate client needs into data solutions.

- Leading cross-functional teams through ambiguity and changing priorities.

- Crafting executive-ready messages that connect strategy and delivery.

- Coaching teams through feedback, conflict, and decision points.

- Designing data modernization approaches using cloud and analytics platforms.