Enterprise Architect - Emerging Analytics

Overview

Enterprise Architect focused on emerging analytics, defining and socializing data analytic practices across Allstate and guiding large-scale data lake and lake house modernization.

What you'll do

• Drive the evolution and data architecture for a scalable and secure data platform.
• Work closely with business partners, architecture, security, and engineering teams to design and implement a modern data lake and lake house architecture.
• Engage with strategic customers and ensure their future needs and vision are top of mind for a data-driven enterprise.
• Oversee deployment of long-term strategic data products and infuse key data and analytics services in applicable areas of business and IT.
• Build POCs of cloud native microservices architecture for data with focus on IaaS, metadata driven frameworks and DevOps.
• Design and guide practices for data models, data flows, and integration patterns for the data lake, lake house, and consumption data layers.
• Support delivery leaders and engineers in building and managing conceptual, logical, and physical architecture.
• Collaborate, design and provide hands-on development of high-priority prototypes in a cloud platform and demonstrate value and feasibility of the solutions and architecture.
• Be involved in all project phases and drive architecture initiatives.
• Communicate with senior and executive leadership on architecture initiatives.

What you'll need

• Bachelor's degree or equivalent professional experience.
• Rich experience building POCs with at least 1-2 successful adoptions across Enterprise.
• 10 to 15 years of experience in at least two IT disciplines such as data architecture, technical cloud architecture, analytics & data science, big data technologies, database management, data governance & security in a heterogeneous environment.
• 5+ years of hands-on experience in implementation and performance tuning MPP (Massively Parallel Processing) databases (Oracle Exadata, Teradata, Netezza, Greenplum, etc.).
• Hands-on experience in lead roles architecting solutions at scale for cloud data platforms including experience with major cloud providers (e.g., AWS, Azure, Google Cloud).
• Experience designing analytics environments for use with data visualization and model development tools and AI driven data agents.
• Hands-on experience with business intelligence tools (Microsoft Power BI, Tableau, etc.).
• Experience in analyzing Data Warehouses such as Teradata, Netezza, Oracle, etc.
• Experience in analyzing Cloud Data Warehouses such as AWS Redshift, Azure Synapse, or Snowflake, etc.
• Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance.
• Hands-on experience architecting and building secure, scalable, and flexible enterprise data projects using AWS, Microsoft Fabric and other on-prem and cloud native platforms.
• Expertise in building secure and scalable data ingestion, ETL/ELT solutions using various server-based and serverless tools.
• Experience with data warehouse data structure and dimensional modeling and key definition with tools such as ERWIN or others.
• Experience with data structures and models for a microservices environment, data lake and cloud lake houses and supporting downstream applications based on various modeling tools and platforms.
• Hands-on experience in leading large-scale enterprise data warehousing (EDW) projects.
• Strong SQL skills.
• Product development mindset and expertise in CI/CD pipeline.
• Experience with big data platforms, SQL & NoSQL databases.
• Collaborative influence, intellectual humility, and enterprise-first decision making; balance conviction with flexibility by considering alternative viewpoints.
• Experience with prioritization of projects that mitigate trade-offs.
• Strong communication, collaboration, and relationship-building skills; ability to balance strategic thinking with hands-on execution.
• Experience driving architectural direction across multiple teams and organizations.

Nice to have

• Experience with Microsoft Fabric and modern lakehouse architectures.
• Experience building AI-enabled analytics platforms, AI agents, or generative AI solutions.
• Experience leading large-scale cloud and analytics transformation programs.
• Cloud architecture certifications (AWS, Azure, or Google Cloud).
• Insurance or other highly regulated industry experience.
• Working within a scaled agile program and collaborating with product managers in creating and managing technical backlog of stories and epics.
• Experience in cloud based services such as S3, IAM, SNS/SQS.

Details

• Location: US, remote.
• Allstate generally does not sponsor individuals for employment-based visas for this position.
• Candidate(s) offered this position will be required to submit to a background investigation.
• Compensation: 134,000.00 - 209,750.00 annually, based on experience and qualifications.