Senior Manager, Data & AI Architect

🔥 13 hours ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 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 data layers • Architect and implement semantic layers for consistent enterprise metrics, business definitions, and analytics • Design unified analytics-ready data products combining ECC and S/4HANA structures • Partner with SAP functional experts, data engineers, and business stakeholders on data requirements, lineage, and transformation logic • Develop conceptual, logical, and physical data models • Design data lake, Lakehouse, and data warehouse architectures • Establish data architecture standards, principles, patterns, and best practices • Ensure alignment with enterprise governance, VAULTIS principles, and data quality standards • 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 architectures meet security, privacy, compliance, scalability, availability, and performance requirements • Collaborate with enterprise architects, application teams, data engineers, analysts, data scientists, and business stakeholders • Create architecture documentation, data-flow diagrams, reference architectures, and technical standards • Improve data platform performance, reliability, scalability, and cost efficiency • Provide technical leadership and mentorship to data engineering and analytics teams • Collaborate with AI/ML teams to 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 data modeling, including dimensional, relational, and analytical data models • 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 is required, as only U.S. citizens are authorized to access information under this program/contract • Preferred: Experience with Delta Lake and Delta Live Tables/Lakeflow Declarative Pipelines • Preferred: Experience with Unity Catalog • Preferred: Experience with Databricks, Delta Lake, Matillion, HVR, or other modern data engineering platforms • Preferred: Deep knowledge of SAP modules (MM, SD, FI/CO, PP, PM) and related master data structures • Preferred: Experience supporting large-scale SAP modernization or digital core transformation programs • Preferred: Experience with batch and real-time/streaming data architectures • Preferred: Knowledge of data mesh, data fabric, domain-driven data architecture, and event-driven architectures • Preferred: Experience with cloud services supporting data ingestion, storage, processing, and analytics • Preferred: Experience designing data platforms for AI/ML and Generative AI workloads • Preferred: Familiarity with data catalog, data quality, data observability, and master data management solutions • Databricks, cloud, or data architecture certifications are a plus

🏖️ 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 • Employee referral award eligibility