Data & Analytics Expert

🔥 13 hours ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $120k - $193.7k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Lead the architecture and design of complex, enterprise-scale data solutions across cloud, lakehouse, warehouse, streaming, and analytical platforms • Define scalable architectural patterns for data ingestion, transformation, storage, integration, consumption, and lifecycle management • Provide technical direction for complex initiatives involving multiple applications, data domains, platforms, and engineering teams • Establish standards for data modeling, interoperability, metadata, lineage, security, performance, and platform integration • Lead technical design reviews and evaluate architectural trade-offs • Serve as a technical escalation point for complex data architecture, engineering, integration, and production challenges • Guide modernization of legacy data platforms and workloads using modern cloud and distributed data technologies • Design and lead implementation of scalable batch, streaming, and event-driven data processing solutions • Develop complex data solutions using Python, PySpark, Scala, SQL, or comparable languages • Apply distributed processing technologies such as Apache Spark, Kafka, Flink, dbt, or equivalent frameworks • Design reusable engineering frameworks and patterns across multiple data products and teams • Design dimensional, relational, lakehouse, and domain-oriented data models • Optimize distributed workloads, SQL queries, storage organization, partitioning strategies, and data pipelines • Establish practices for automated testing, dependency management, orchestration, failure recovery, replay, and operational resilience • Provide technical leadership for Microsoft Fabric solutions, including Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks, Dataflows Gen2, and Semantic Models • Apply Azure and/or AWS cloud services to enterprise data architectures • Define and promote Git-based version control, code review, automated testing, CI/CD, and automated deployment • Design observability strategies and drive monitoring and operational excellence using Datadog or equivalent technologies • Lead root-cause analysis for complex production issues and prevent recurrence • Define and implement data quality, metadata management, lineage, retention, classification, and lifecycle management practices • Partner with business owners, data custodians, governance teams, security teams, and architects to establish trusted, governed data products • Evaluate emerging data technologies and recommend adoption • Lead modernization initiatives and migrations from legacy data ecosystems to modern cloud and lakehouse platforms • Apply generative AI and agentic AI tools where appropriate • Partner with senior business and technology leaders to translate business needs into long-term data capabilities • Communicate technical topics, architectural decisions, risks, and trade-offs to technical and non-technical audiences • Facilitate discussions across engineering, product, analytics, governance, and business teams • Influence technical direction across multiple teams without direct supervisory authority • Mentor engineers and create technical documentation, reference architectures, standards, and reusable implementation guidance

🎯 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 • 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 Git, CI/CD, automated testing, infrastructure/deployment automation, and release management • Experience with observability platforms such as Datadog • 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 • Must submit to a background investigation • Allstate generally does not sponsor individuals for employment-based visas for this position • Dedicated, private workspace free from distractions when working from home • Reliable internet with minimum speeds of 50 MB download and 5 MB upload

🏖️ Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement for employees eligible to work from home • Remote work arrangement • Opportunity to challenge the status quo and shape the future of protection • Support for causes that mean the most to employees

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