Assistant Vice President - Data Architect
Key Skills for This Role
Full Job Posting
12-15 Years
Remote/Hybrid
Full-Time
We are seeking an experienced Data Architect with 12-15 years of experience in designing and implementing enterprise-scale data platforms, data architectures, and data management solutions. The ideal candidate will possess strong expertise in data modeling, data warehousing, big data ecosystems, cloud data platforms, and modern data architecture frameworks.
The Data Architect will be responsible for defining the organization's data strategy, designing scalable and secure data solutions, establishing best practices, and providing architectural leadership to data engineering, analytics, and business teams.
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.
Strong expertise in: Enterprise Data Architecture Data Strategy & Roadmaps Data Integration Architecture Information Architecture Reference Architecture Development Data Modernization Programs
Enterprise Data Architecture
Data Strategy & Roadmaps
Data Integration Architecture
Information Architecture
Reference Architecture Development
Data Modernization Programs
Extensive experience with: Conceptual Data Modeling Logical Data Modeling Physical Data Modeling Dimensional Modeling Data Vault 2.0 Star & Snowflake Schemas
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
Erwin
ER/Studio
PowerDesigner
Visio
Strong experience designing: Enterprise Data Warehouses Data Lakes Lakehouse Architectures Operational Data Stores (ODS) Data Marts
Enterprise Data Warehouses
Data Lakes
Lakehouse Architectures
Operational Data Stores (ODS)
Data Marts
Deep understanding of: Data Lifecycle Management Metadata Management Data Lineage
Data Lifecycle Management
Metadata Management
Data Lineage
Strong experience in one or more cloud platforms:
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Microsoft Fabric
Azure Databricks
S3
Glue
Redshift
EMR
Athena
BigQuery
Dataflow
Dataproc
Cloud Storage
Strong understanding of: Hadoop Ecosystem Spark / PySpark Hive Kafka Delta Lake
Hadoop Ecosystem
Spark / PySpark
Hive
Kafka
Delta Lake
Experience designing large-scale batch and real-time data processing architectures.
Experience working with:
SQL Server
Oracle
PostgreSQL
Snowflake
Teradata
MySQL
Strong expertise in:
Database Design
Query Optimization
Data Partitioning
Performance Tuning
Strong knowledge of: Data Governance Frameworks Metadata Management Data Cataloging Data Quality Management Master Data Management (MDM) Data Privacy Regulations
Data Governance Frameworks
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
Role-Based Access Control (RBAC)
Data Security Policies
Data Compliance Frameworks
Experience with: Enterprise Integration Patterns API-Based Data Integration Event-Driven Architecture Microservices Architecture Data Mesh Concepts Data Fabric Architecture
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.
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.
Experience with: Snowflake Databricks Microsoft Fabric Informatica Talend Collibra Alation
Databricks
Informatica
Talend
Collibra
Alation
Exposure to: AI/ML Data Platforms Generative AI Data Architecture Data Observability Platforms
AI/ML Data Platforms
Generative AI Data Architecture
Data Observability Platforms
Familiarity with: DevOps CI/CD Infrastructure as Code (Terraform)
DevOps
CI/CD
Infrastructure as Code (Terraform)
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.
Bachelor's or Master's Degree in: Computer Science Information Technology Data Engineering Engineering or related discipline
Computer Science
Information Technology
Data Engineering
Engineering or related discipline
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
Cloud Data Architecture
Data Modeling
Data Warehousing & Lakehouse Design
Big Data Architecture
Data Governance & MDM
Data Security & Compliance
Stakeholder Management
Technical Leadership & Mentoring
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.
About EXL Service
Global data analytics, AI, and digital operations solutions company.
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