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# Data Architect

- **Company:** Everest Global Solutions
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Computing Platforms, ARM Architecture, Microsoft Azure, Mobile Application Development, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Sharing, Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Disaster Recovery, Enterprise Architecture Framework, Interoperability, Python (Programming Language), Metadata, Meta-Data Management, Cloud Services, Search Technologies, SQL Databases, Data Streaming, Enterprise Data Management, Google Cloud, Data Ingestion, Large Language Models, Snowflake, Data Strategy, Git, Event Driven Architecture, Data Lakes, Infrastructure Automation Frameworks, Data Management, Cloud Migration, Marketplace, Data Pipelines, Microservices
- **Published:** August 18, 2026
- **Apply:** https://www.dice.com/job-detail/d65f73a9-0161-4961-8537-920db4d0c062

## About the Role

12+ years of experience in Data Engineering, Data Architecture, Data Warehousing, or Enterprise Architecture.
Proven experience defining and implementing enterprise-scale data architectures and cloud data platforms.
Experience leading modernization initiatives and architecture roadmaps across complex data ecosystems.
Strong track record of designing solutions that support analytics, operational reporting, AI/ML, and business growth.
Mandatory Skills

Enterprise and Solution Data Architecture
Snowflake-aligned Platform Architecture
Conceptual, Logical, and Physical Data Modeling
Data Warehouse, Lakehouse, and Data Lake Architecture
Batch, Streaming, Real-Time, API, and Event-Driven Integration Patterns
Cloud Architecture on Azure, AWS, or Google Cloud Platform
Metadata, Lineage, Data Quality, Privacy, and Governance Architecture
Performance, Resilience, Availability, Disaster Recovery, and Cost Optimization
Architecture Standards, Reference Patterns, Design Reviews, and Technology Evaluation
Functional / Domain Experience, Executive stakeholder management
Technical leadership and strategic roadmap development
Ability to connect business strategy with target-state data capabilities and investment priorities
Technical Skills

Snowflake Data Cloud architecture and solution design
Enterprise data warehousing, lakehouse, data mesh, and data-product architectures
Dimensional modeling, Data Vault, and semantic data models
ELT/ETL, CDC, streaming, and data-pipeline architecture
Snowpark using Python or SQL and Snowflake Cortex AI
Performance engineering, workload management, and FinOps principles
Data sharing, Snowflake Marketplace, and Native Applications
GenAI, LLMs, RAG, vector search, and AI-ready platform architecture
APIs, event-driven architecture, and microservices integration
CI/CD, Infrastructure as Code, and Git
Preferred Skills

Experience with enterprise data modernization and cloud migration programs.
Experience designing AI/GenAI-ready data platforms.
Strong understanding of data mesh and data product operating models.
Experience with data cataloging and governance platforms.
Experience with enterprise architecture frameworks and architecture governance.
Strong communication, presentation, and stakeholder-management skills.
Ability to work effectively with both technical and business leadership.

## Description

We are seeking an experienced Data Architect to define and evolve enterprise data architecture and design scalable, secure, and high-performing data solutions aligned with business strategy.

The role will shape target-state architecture, platform capabilities, data patterns, and modernization roadmaps across data ingestion, storage, transformation, governance,h analytics, and AI consumption.

The ideal candidate combines deep architecture expertise with a strong understanding of Finance, Sales, or Operations. This role partners with Product, Engineering, Analytics, AI, and business leaders to establish architecture direction, guide solution design, and ensure the data platform remains reusable, interoperable, governed, and future-ready.

Key Responsibilities

Design Scalable Data Solutions

Architect end-to-end data solutions spanning ingestion, integration, transformation, storage, serving, analytics, and AI consumption.
Define conceptual, logical, and physical data architectures and select appropriate patterns for batch, streaming, and near-real-time use cases.
Ensure designs meet scalability, performance, resilience, availability, security, and disaster recovery requirements.
Lead architecture reviews and guide engineering teams through solution implementation.
Build and Evolve the Data Platform

Define target-state architecture for modern data warehouses, lakehouses, data lakes, and analytical platforms.
Create platform blueprints, reference architectures, reusable patterns, and technology standards.
Guide legacy modernization and migration to cloud-native, Snowflake-aligned architectures.
Evaluate platform capabilities and recommend investments based on business value, interoperability, scalability, and cost.
Drive Data Strategy and Collaboration

Translate business strategy into data capabilities, architecture roadmaps, and prioritized modernization initiatives.
Partner with Product, Engineering, Analytics, AI, Security, and business leaders on architecture decisions.
Communicate trade-offs, risks, dependencies, and recommendations to technical and executive stakeholders.
Provide architecture leadership and mentor teams on patterns and design decisions.
Ensure Standards and Innovation

Establish standards for data modeling, integration, metadata, lineage, quality, interoperability, security, and responsible data use.
Ensure solution designs align with enterprise architecture, privacy, compliance, and governance principles.
Evaluate emerging technologies in AI, automation, streaming, and cloud data platforms.
Promote reusable data products, engineering excellence, and continuous architecture improvement., Revenue Analysis
Budgeting
Forecasting
P&L Analytics
Sales

Sales Operations
Pipeline Analytics
CRM Insights
Revenue Growth
Operations

Process Optimization
Workforce Planning
Productivity
Operational Analytics
Additional Experience


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