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EXL
EXL
Skilled Worker Visa SponsorHealthcareInsuranceLogistics
EXL is a business consulting and services company that helps organizations use data, analytics, and technology to improve operations and make better decisions. Its work includes operations management, decision analytics, and digital transformation, with experience supporting clients in healthcare, insurance, finance, and logistics. EXL combines data science with practical business expertise to develop solutions tailored to each organization’s goals, operating model, and industry context.
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Assistant Vice President, Data Architect — EXL | Hybrid, New York

Lead enterprise data architecture for cloud platforms, governance, integration, and modernization initiatives at EXL. Shape scalable data solutions supporting analytics, reporting, AI/ML, and operational workloads.

USUnited StatesNYNew York
$160,000 – $190,000 / year
HybridFull-timeLeadEnglish RequiredData Engineer
AWSAzureCloudETLGoogle Cloud PlatformHadoopKafkaMicroservicesMySQLOraclePostgresPySparkSparkSQLVault

Description

  • Set and execute an enterprise data architecture strategy aligned with business priorities
  • Design secure, scalable, high-performance data platforms for analytics, reporting, AI/ML, and operational workloads
  • Create conceptual, logical, and physical data models for enterprise applications
  • Architect data warehouses, data lakes, lakehouses, and other modern data platforms
  • Build frameworks for data governance, metadata, data quality, and master data management
  • Lead ETL/ELT and data integration architecture across diverse systems
  • Define data management standards, practices, and architectural principles
  • Partner with business leaders, enterprise architects, and technology teams on transformation programs
  • Assess emerging technologies and recommend appropriate data solutions
  • Guide and mentor data engineering and analytics teams
  • Maintain compliance with security, privacy, and regulatory obligations
  • Lead enterprise data architecture forums and governance discussions
  • Direct architecture reviews and secure design approvals
  • Contribute to pre-sales work, solution proposals, and technical estimates
  • Work with executive stakeholders to establish long-term data strategies
  • Create reusable architecture standards and frameworks across projects

Requirements

  • Bring 12–15 years of experience designing and implementing enterprise-scale data platforms, architectures, and management solutions
  • Demonstrate deep expertise in enterprise data architecture, data strategy and roadmaps, integration architecture, information architecture, reference architectures, and modernization programs
  • Have extensive experience with conceptual, logical, physical, and dimensional modeling, including Data Vault 2.0 and star and snowflake schemas
  • Be proficient with modeling tools such as Erwin, ER/Studio, PowerDesigner, and Visio
  • Bring substantial experience designing enterprise data warehouses, data lakes, lakehouses, operational data stores, and data marts
  • Have strong experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP
  • Understand Hadoop, Spark/PySpark, Hive, Kafka, and Delta Lake
  • Have designed large-scale batch and real-time data processing architectures
  • Be experienced with SQL Server, Oracle, PostgreSQL, Snowflake, Teradata, or MySQL
  • Demonstrate expertise in database design, query optimization, partitioning, and performance tuning
  • Understand data governance, metadata management, cataloging, quality management, master data management, and data privacy regulations
  • Have implemented role-based access control, data security policies, and compliance frameworks
  • Know enterprise integration patterns, API-based integration, event-driven and microservices architectures, data mesh, and data fabric concepts
  • Be able to produce architecture artifacts, solution blueprints, and data-flow diagrams
  • Demonstrate leadership, strategic thinking, stakeholder management, communication, analytical, and problem-solving skills
  • Hold a bachelor's or master's degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related discipline
  • Preferred credentials include TOGAF, Azure Solutions Architect Expert, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Solutions Architect Professional, Google Professional Data Engineer, or Snowflake SnowPro
  • Additional qualifications cite a bachelor's or master's degree in Computer Science, Engineering, Product Design, or a related field, plus 8–12 years of product development or engineering experience

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