Senior Manager, Data – AI Architect

🔥 13 hours ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🎖️ Defense

🏭 Manufacturing

💰 $200k Grant - RTX on 2024-11

Aerospace • Defense • Manufacturing

RTX is a multinational aerospace and defense company that brings together aviation and defense businesses—including Collins Aerospace, Pratt & Whitney and Raytheon—to design, manufacture and service aircraft engines, auxiliary power units, integrated aerospace systems and defense solutions. The company focuses on advancing technologies that power flight, strengthen national security and support government and commercial customers worldwide, with a global presence across the Americas, Asia-Pacific, Europe, the Middle East and Africa. RTX emphasizes engineering, manufacturing, and research to solve complex technical challenges for aviation and defense.

📋 Description

• Design and implement scalable enterprise data architectures using Databricks and modern Lakehouse technologies • Define and implement Medallion Architecture patterns across Bronze, Silver, and Gold layers • Architect semantic layers for consistent enterprise metrics, business definitions, and analytics • Design unified analytics-ready data models blending ECC and S/4HANA structures • Partner with SAP functional experts, data engineers, business stakeholders, security teams, application teams, and leadership • Define data requirements, lineage, transformation logic, standards, principles, patterns, and best practices • Develop conceptual, logical, and physical data models • Design scalable data lake, Lakehouse, and data warehouse architectures • Design batch and streaming data ingestion and integration strategies • Partner with data engineers on ETL/ELT pipelines using Databricks, Apache Spark, and SQL • Define data quality, lineage, metadata management, governance, and observability approaches • Design architectures supporting analytics, business intelligence, machine learning, and generative AI use cases • Develop data migration and modernization strategies for legacy platforms • Ensure security, privacy, compliance, scalability, availability, and performance requirements • Create architecture documentation, data-flow diagrams, reference architectures, and technical standards • Identify opportunities to improve platform performance, reliability, scalability, and cost efficiency • Provide technical leadership and mentorship to data engineering and analytics teams • Prepare, model, and structure SAP data for intelligent applications, including feature engineering and model-ready datasets

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field with 10+ years of applicable work experience; OR an Advanced Degree with 7+ years of applicable work experience • 7+ years of experience in data architecture, data engineering, database architecture, or a related discipline • Strong experience designing and implementing modern data architectures and Lakehouse solutions • Hands-on experience with Databricks and the Databricks Data Intelligence Platform • Strong understanding of Medallion Architecture, including Bronze, Silver, and Gold data layers • Strong knowledge of Apache Spark, PySpark, and SQL • Experience designing data warehouses, data lakes, and/or Lakehouse architectures • Strong knowledge of dimensional, relational, and analytical data modeling • Experience designing ETL/ELT pipelines and data integration solutions • Experience with at least one major cloud platform such as AWS, Microsoft Azure, or Google Cloud • Understanding of data governance, data quality, metadata, data lineage, security, and privacy • Demonstrated ability to design and implement enterprise-scale data and AI/ML architecture solutions • Strong communication and stakeholder-management skills • U.S. citizenship required; only U.S. citizens are authorized to access information under this program/contract • Preferred: experience with Delta Lake, Delta Live Tables/Lakeflow Declarative Pipelines, Unity Catalog, SAP modules and modernization programs, batch and streaming architectures, data mesh, data fabric, domain-driven and event-driven architectures, cloud data services, AI/ML and Generative AI platforms, data catalog, data quality, observability, master data management, and relevant certifications

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-term disability • Long-term disability • 401(k) match • Flexible spending accounts • Flexible work schedules • Employee assistance program • Employee Scholar Program • Parental leave • Paid time off • Holidays • Annual short-term and/or long-term incentive compensation programs may be available • Employee referral award may be available • Remote work primarily from home • Interview process may include select in-person steps at an office location