Data Architect

Law School Admission Council (LSAC)

Data Architect leading the design and governance of enterprise data platforms for LSAC. Focusing on data strategy, cloud modernization, and data engineering across hybrid environments.

Posted 5/27/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesSeniorLead💰 $160,000 - $173,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLNoSQLOracleSQLTerraform

About the role

Key responsibilities & impact

Define and maintain enterprise-wide data architecture, including conceptual, logical, and physical data models
Establish data standards, architecture principles, and best practices
Develop and evolve the organization’s data strategy aligned to business objectives
Lead migration and modernization of on-premises Oracle platforms to OCI and Azure
Architect scalable, resilient solutions using Azure SQL Database, SQL Server, Elastic Pools, and Cosmos DB
Drive adoption of cloud-native and hybrid data design patterns
Design and oversee data pipelines using Azure Data Factory and modern ETL/ELT frameworks
Enable efficient data ingestion, transformation, and delivery across operational and analytical systems
Ensure reusability and scalability of data services and pipelines
Define and implement strategies for partitioning, indexing, and query optimization
Ensure high availability, disaster recovery, and backup architectures
Monitor and optimize performance, cost, and reliability across environments
Establish and enforce enterprise data governance, data quality, and security frameworks
Ensure compliance with regulatory and organizational standards
Promote data stewardship and ownership across the organization
Evaluate emerging technologies and recommend improvements to the data ecosystem
Provide architectural guidance and mentorship to data engineers, DBAs, and developers
Foster a culture of innovation and continuous improvement
Partner with business leaders, analytics teams, and application owners to align data solutions with business needs
Translate complex technical concepts into actionable business insights
Support enterprise initiatives involving analytics, reporting, and AI/ML readiness

Requirements

What you’ll need

Bachelor’s degree required
Master’s preferred in Computer Science, Information Systems, or related field
8+ years of experience in data architecture, data engineering, or database design
Proven experience leading enterprise-scale data initiatives
Advanced expertise in Oracle databases (performance tuning, Data Guard, RAC, high availability)
Strong experience with Oracle Cloud Infrastructure (OCI) (Autonomous Database, storage, networking)
Deep knowledge of Microsoft Azure data services , including: Azure SQL Database / SQL Server Elastic Pools Azure Data Factory Cosmos DB
Expertise in relational and NoSQL data modeling techniques
Experience with distributed and globally scalable data systems
Experience with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, or Bicep)
Familiarity with data lake, lakehouse, and analytics architectures
Exposure to data platforms supporting AI/ML and advanced analytics.

Benefits

Comp & perks

Remote work arrangements will be considered for this position

ATS Keywords

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Hard Skills & Tools

data architecturedata modelingdata engineeringdatabase designperformance tuningdata governancecloud-native design patternsETL frameworksquery optimizationdisaster recovery

Soft Skills

leadershipmentorshipcommunicationcollaborationinnovationproblem-solvingbusiness alignmentdata stewardshipcontinuous improvementstrategic thinking

Certifications

Bachelor's degreeMaster's degree in Computer ScienceMaster's degree in Information Systems