Assistant Vice President - Data Architect

EXL; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

EXL is seeking a Data Architect with 12-15 years of experience to define and implement an enterprise data architecture strategy aligned with business objectives. This remote/hybrid role focuses on designing scalable data platforms for analytics, AI/ML, and operations, and developing conceptual, logical, and physical data models.

You will lead data warehouses, data lakes, lakehouses, metadata management, data quality, MDM, and data integration across systems.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related discipline.
• TOGAF Certification is a plus.
• Strong experience in enterprise data architecture and data governance.

Responsibilities

• Define and implement enterprise data architecture strategy aligned with business objectives.
• Design scalable, secure data platforms for analytics, AI/ML, and operations.
• Develop conceptual, logical, and physical data models for enterprise apps.
• Lead data warehouse, data lake, and lakehouse design and governance frameworks.
• Oversee data integration, ETL/ELT architectures across systems.
• Mentor data engineers and collaborate with executives on strategy.

Skills

Enterprise Data Architecture

Data Modeling

Cloud Platforms

Data Warehousing

Team Leadership

Education

Bachelor's or Master's in Computer Science or related field

TOGAF Certification

Tools

Erwin

ER/Studio

PowerDesigner

Visio

Job description

• Dataproc
• Teradata

Job Description (JD) – Data Architect Position Title Data Architect

Experience 12-15 Years

Location Remote/Hybrid

Employment Type Full-Time

Key Responsibilities - Define and implement enterprise data architecture strategy aligned with business objectives.

• Design scalable, secure, and high‑performing data platforms supporting analytics, reporting, AI/ML, and operational workloads.
• Develop conceptual, logical, and physical data models for enterprise applications.
• Architect enterprise data warehouses, data lakes, lakehouses, and modern data platforms.
• Establish data governance, metadata management, data quality, and master data management frameworks.
• Lead the design of data integration and ETL/ELT architectures across multiple systems.
• Define standards, best practices, and architectural guidelines for data management.
• Collaborate with business leaders, enterprise architects, and technology teams to drive data transformation initiatives.
• Evaluate emerging technologies and recommend innovative data solutions.
• Provide technical leadership and mentorship to data engineering and analytics teams.
• Ensure compliance with security, privacy, and regulatory requirements.

Required Technical Skills Data Architecture & Design - Strong expertise in: - Enterprise Data Architecture

• Data Strategy & Roadmaps
• Data Integration Architecture
• Information Architecture
• Reference Architecture Development
• Data Modernization Programs

Data Modeling - Extensive experience with: - Conceptual Data Modeling

• Logical Data Modeling
• Physical Data Modeling
• Dimensional Modeling
• Data Vault 2.0
• Star & Snowflake Schemas
• Proficiency with data modeling tools such as: - Erwin
• ER/Studio
• PowerDesigner
• Visio

Data Warehousing & Data Lakes - Strong experience designing:

• Enterprise Data Warehouses
• Data Lakes
• Lakehouse Architectures
• Operational Data Stores (ODS)
• Data Marts
• Deep understanding of: - Data Lifecycle Management
• Metadata Management
• Data Lineage

Cloud & Modern Data Platforms Strong experience in one or more cloud platforms:

Microsoft Azure - Azure Data Factory

• Azure Synapse Analytics
• Azure Data Lake Storage
• Microsoft Fabric
• Azure Databricks

AWS - S3

• Glue
• Redshift
• EMR
• Athena

GCP - BigQuery

• Dataflow
• Dataproc
• Cloud Storage

Big Data & Data Engineering - Strong understanding of: - Hadoop Ecosystem

• Spark / PySpark
• Hive
• Kafka
• Delta Lake
• Experience designing large-scale batch and real‑time data processing architectures.

Database Technologies Experience Working With

• SQL Server
• Oracle
• PostgreSQL
• Snowflake
• Teradata
• MySQL

Strong Expertise In

• Database Design
• Query Optimization
• Data Partitioning
• Performance Tuning

Data Governance & Security - Strong knowledge of: - Data Governance Frameworks

• Metadata Management
• Data Cataloging
• Data Quality Management
• Master Data Management (MDM)
• Data Privacy Regulations
• Experience implementing: - Role-Based Access Control (RBAC)
• Data Security Policies
• Data Compliance Frameworks

Architecture & Integration Skills - Experience with: - Enterprise Integration Patterns

• API-Based Data Integration
• Event-Driven Architecture
• Microservices Architecture
• Data Mesh Concepts
• Data Fabric Architecture
• Ability to create architecture artifacts, solution blueprints, and data flow diagrams.

Leadership Responsibilities - Lead enterprise data architecture discussions and governance forums.

• Mentor Data Architects, Data Engineers, and Technical Leads.
• Drive architecture reviews and design approvals.
• Support pre‑sales activities, solution proposals, and technical estimations.
• Engage with executive stakeholders to define long‑term data strategies.
• Establish architecture standards and reusable frameworks across projects.

Preferred Skills - Experience with: - Snowflake

• Databricks
• Microsoft Fabric
• Informatica
• Talend
• Collibra
• Alation
• Exposure to: - AI/ML Data Platforms
• Generative AI Data Architecture
• Data Observability Platforms
• Familiarity with: - DevOps
• CI/CD
• Infrastructure as Code (Terraform)

Soft Skills - Strong Leadership And Strategic Thinking Abilities.

• Excellent stakeholder management and communication skills.
• Ability to present architectural solutions to executive leadership.
• Strong analytical and problem‑solving capabilities.
• Proven ability to lead large‑scale enterprise transformation initiatives.

Educational Qualifications - Bachelor's or Master's Degree in: - Computer Science

• Information Technology
• Data Engineering
• Engineering or related discipline

Preferred Certifications - TOGAF Certification

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer Professional
• AWS Certified Solutions Architect Professional
• Google Professional Data Engineer
• Snowflake SnowPro Certification

Key Competencies - Enterprise Data Architecture

• Cloud Data Architecture
• Data Modeling
• Data Warehousing & Lakehouse Design
• Big Data Architecture
• Data Governance & MDM
• Data Security & Compliance
• Data Integration Architecture
• Stakeholder Management
• Technical Leadership & Mentoring

Ideal Candidate Profile A highly experienced Data Architect with 12-15 years of experience in designing enterprise‑scale data ecosystems, defining data strategy, architecting modern cloud‑based data platforms, and leading large transformation programs. The candidate should possess exceptional expertise in data architecture, governance, data modeling, cloud platforms, and modern analytics solutions, along with the ability to provide strategic leadership and drive enterprise‑wide data initiatives.