Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description At Allstate s Enterprise Architecture organization, we define the technology strategies, platforms, and standards that enable a data-driven enterprise. Our team partners across business and technology to modernize data platforms, accelerate cloud adoption, and advance analytics and AI capabilities that power smarter decisions across the company. The Opportunity Defining and socializing the data analytic practices across the Allstate corporation. This role will provide strategic guidance for technical and business teams on ingestion, integration, data visualization, and advanced analytics including generative AI, ultimately enabling our business to advance. This role will focus on large scale data lake implementation and data lake house modernization through engagements that will focus on customer solutions such as data warehousing, business intelligence, and advanced analytics tools. You ll work with senior leaders, engineers, and architects across the organization to build solutions that make enterprise-scale analytics and intelligence possible. , You ll be expected to roll up your sleeves, develop prototypes , evaluate emerging technologies, and influence how the next generation of data and AI platforms are built across Allstate. What We re Looking For You are a senior data architecture leader who combines deep technical expertise with strong business influence. You have experience leading cloud and data modernization initiatives, remain close to the technology, and can confidently communicate architectural strategy to both engineers and executives. You thrive in fast-changing environments and are passionate about the future of analytics, cloud, and AI. Primary Responsibilities Include: 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 infusing key data and analytics services in applicable areas of business and IT Build POC’s 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 Communication with senior and executive leadership on architecture initiatives Strong communicator individually, in groups and in presentations with a vision for how cloud data platforms can enable a better future powered by data Education and Experience: Bachelor’s degree or equivalent professional experience Rich experience building POC’s 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 & no SQL databases Leadership & Communication: Collaborative influence, intellectual humility, and enterprise-first decision making ; demonstrate intellectual curiosity and humility, balancing conviction with flexibility by considering alternative viewpoints and championing solutions that best serve organizational goals, regardless of origin 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. Preferred Qualifications: 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 Skills Analytics Architecture, Cloud Data Architecture, Data Lake, Data Lakehouse Architecture, Data Strategies, Enterprise Architecture (EA), Enterprise Data Architecture Compensation Compensation offered for this role is 134,000.00 - 209,750.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “ here ” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “ here ” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “ here ”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “ here ”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

Requirements

Must-haves

You ll be expected to roll up your sleeves, develop prototypes , evaluate emerging technologies, and influence how the next generation of data and AI platforms are built across Allstate.
What We re Looking For
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 infusing key data and analytics services in applicable areas of business and IT
Build POC’s 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
Communication with senior and executive leadership on architecture initiatives
Strong communicator individually, in groups and in presentations with a vision for how cloud data platforms can enable a better future powered by data
Bachelor’s degree or equivalent professional experience
Rich experience building POC’s with at least 1-2 successful adoptions across Enterprise
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)

Nice-to-haves

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
Analytics Architecture, Cloud Data Architecture, Data Lake, Data Lakehouse Architecture, Data Strategies, Enterprise Architecture (EA), Enterprise Data Architecture

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuresqlci/cdagile

Platform: workday
Effort: long

Benefits

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Vision

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