[Hiring] Data & Analytics Expert @Allstate

Role Description

The Data Expert provides technical leadership in designing and delivering scalable, reliable, and well-governed enterprise data solutions. This role defines data architecture and engineering standards, solves complex data challenges, and drives modernization and engineering excellence across teams.

As a Data Expert, you will provide technical leadership in the design, engineering, governance, and evolution of enterprise data solutions. This role serves as a senior technical authority for complex data initiatives, translating business and analytical needs into scalable, secure, reliable, and well-governed data products.

You will lead the design of modern data architectures and engineering patterns, establish technical standards and best practices, and solve highly complex data problems spanning multiple systems and business domains. You will partner with product managers, architects, engineers, analytics teams, and business stakeholders to modernize data platforms and create trusted, reusable data capabilities.

You are expected to operate with a high degree of autonomy, influence technical direction across teams, mentor engineers, and drive continuous improvement in data architecture, engineering, governance, quality, observability, and operational excellence.

Qualifications

• Expert-level knowledge of data architecture, data engineering, distributed processing, data integration, and data modeling.
• Advanced proficiency in Python, PySpark, Scala, SQL, or comparable languages used for large-scale data processing.
• Advanced understanding of Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Notebooks, Data Pipelines, Dataflows Gen2, and Semantic Models.
• Strong knowledge of Delta Lake, lakehouse architecture, distributed computing, batch processing, and streaming architectures.
• Advanced SQL expertise, including query optimization and performance tuning.
• Strong understanding of relational, dimensional, NoSQL, and distributed data modeling techniques.
• Experience designing reusable frameworks and enterprise-scale data processing patterns.
• Strong knowledge of cloud architecture and data services within Microsoft Azure and/or AWS.
• Advanced understanding of engineering practices including Git, CI/CD, automated testing, infrastructure/deployment automation, and release management.
• Experience with observability platforms such as Datadog and designing operational monitoring for enterprise data solutions.
• Strong understanding of data governance, metadata, lineage, data quality, security, privacy, and retention principles.
• Demonstrated ability to troubleshoot complex distributed data and production problems.
• Demonstrated ability to lead technical initiatives and influence engineering standards across multiple teams.
• Excellent communication skills, with the ability to communicate architecture and technical strategy to engineering teams, business partners, and senior leadership.

Requirements

• 10 or more years of relevant technology, data engineering, data architecture, or data platform experience (Preferred).
• Significant experience designing and delivering complex, enterprise-scale data solutions.
• Demonstrated experience providing technical leadership across large or cross-functional initiatives.

Benefits

• Compensation offered for this role is $120,000.00 - $193,725.00 annually and is based on experience and qualifications.
• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for employees eligible to work from home.