Huntsville, AL30+ days ago
Key Responsibilities include: • Lead the design, development, and management of scalable Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines, data warehouses, and data lakes supporting analytics and machine learning initiatives • Perform advanced analysis of large-scale datasets, including complex space data, to derive actionable mission insights and solve high-impact operational challenges • Develop, implement, and deploy predictive models and machine learning algorithms within production environments • Translate holistic data-sharing and analytics requirements from Integrated Product Teams (IPTs) into comprehensive data architectures, influencing new data center design, including integration of Storage Area Networks (SAN), Network Attached Storage (NAS), object storage, and data processing frameworks • Establish and enforce data governance, quality, integrity, and security best practices across the enterprise • Serve as senior technical lead and primary customer interface for data initiatives, advising leadership on feasibility, performance, cost, and long-term scalability • Develop and deliver executive-level technical briefings and represent SRC in high-level meetings with customers and stakeholders • Identify follow-on technical opportunities and define complex requirements for statements of work. Experience & Technical Expertise: Minimum 7 years of progressive experience across both data engineering and data science disciplines, including expert proficiency in Python and Structured Query Language (SQL); demonstrated success designing Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines; developing and deploying machine learning models; and working with big data technologies such as Apache Spark, Apache Airflow, or Apache Hadoop.