Sr. Data Architect

Senior Data Architect

SteerBridge is seeking a Senior Data Architect to lead the design and evolution of enterprise-level data ecosystems. You will be responsible for architecting scalable, secure, and high-performance data infrastructures that support mission-critical aviation sustainment. This is a "player-coach" role that requires high-level strategic planning alongside hands-on engineering execution.

Key Responsibilities

Architecture & Design: Design conceptual, logical, and physical data models for complex federal environments. Lead the transition from legacy on-premises systems to modern, cloud-native (AWS/GCP) data platforms.

Pipeline Development: Architect and oversee the build of automated ETL/ELT pipelines using Python, SQL, and PySpark to ingest and transform unstructured and structured data.

Cloud Data Warehousing: Implement and optimize enterprise data warehouses using tools like AWS Redshift, Google BigQuery, AWS Glue, and Databricks.

Governance & Compliance: Establish data governance frameworks, metadata management, and data lineage in alignment with federal standards (HIPAA, FHIR, NIST).

Performance Optimization: Conduct index/partition design, query tuning, and sharding strategies to ensure high availability and scalability for real-time analytics.

AI/ML Support: Design data architectures that facilitate AI/ML initiatives, including model training pipelines and real-time inference in production environments.

Leadership: Mentor a team of data engineers, enforce software engineering best practices (CI/CD, unit testing, documentation), and serve as a technical bridge between stakeholders and delivery teams.

Required Qualifications

• Must be a U.S. Citizen.
• Masters's Degree or Above in Systems Engineering, Computer Science or related field.
• An active security clearance or the ability to obtain one is required.
• Minimum 6+ years of experience to include:
• Experience in data management, utilizing advanced analytics tools and platforms and Python.
• Experience with Data Warehousing consulting/engineering or related technologies (Redshift, Databricks, BigQuery, OADW, Apache Hive, Apache Lucene).
• Experience in scripting, tooling, and automating large-scale computing environments.
• Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; minor experience with TensorFlow, PyTorch, and Scikit-learn.
• Compliance: Deep understanding of data security and federal compliance requirements.