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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.
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Worksite address
new york, NY, 10261, US
Who can apply
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