Data Architect

SDKIntel

. Define and implement the organization’s enterprise data architecture, including data models, pipelines, and platform strategy .

Posted 10/3/2026full-timeRemote • MexicoSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, including data modeling, cloud platforms, and data governance. Proven ability to lead cross-functional teams, manage data integrations, and ensure compliance with industry standards.

Highest-signal resume keywords

Enterprise Data ArchitectureCloud Platforms (AWS, Azure, GCP)Data Modeling (OLTP/OLAP)Data Governance Standards (SOC 2, HIPAA, GDPR, PCI DSS)Team Management and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringData IntegrationELT ToolsDBTKafkaSnowflakeBigQueryRedshiftPredictive Analytics

Soft Skills

Excellent CommunicationStakeholder ManagementIndependent WorkDeadline Management

Tools & Technologies

SalesforceCloud Data ArchitectureEnterprise Data PlatformsAI/ML ApplicationsData Warehousing

Certifications & Qualifications

CDMPAWS Certified Data Analytics SpecialtyTOGAF

Industry Keywords

Data QualityMetadata ManagementData LineageData ClassificationData-Driven Culture

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudCyber SecurityGoogle Cloud PlatformKafka

About the role

Key responsibilities & impact

Define and implement the organization’s enterprise data architecture, including data models, pipelines, and platform strategy
Lead integrations between internal platforms such as Salesforce and CX platforms and third-party systems
Establish and enforce standards for data quality, metadata management, lineage, and classification
Partner with engineering, security, and compliance teams on privacy, retention, and access control policies
Support compliance with SOC 2, HIPAA, GDPR, and PCI DSS
Lead data risk reviews, support vendor onboarding, and ensure technical audit readiness
Manage and mentor data engineers, analysts, and specialists
Lead recruitment, onboarding, performance management, and professional development
Drive adoption of data best practices and promote a data-driven culture
Provide thought leadership on modern data stacks, cloud data architecture, and advanced analytics
Lead selection, implementation, and ongoing management of enterprise data platforms
Evaluate and implement ELT tools, DBT, Kafka, and cloud-native services
Support enterprise analytics, AI/ML use cases, and enterprise-wide data warehousing initiatives
Report directly to the Director, Enterprise Applications & Data
Initially manage one direct report, with potential team expansion

Requirements

What you’ll need

Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or related field (or equivalent years’ experience)
8+ years of progressive experience in data architecture, data engineering, or enterprise data management
Strong experience with cloud platforms (AWS, Azure, or GCP)
Experience with modern data stacks, including ELT tools, DBT, Kafka, Snowflake, BigQuery, or Redshift
Experience managing cross-functional data teams
Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration
Familiarity with SOC 2, HIPAA, GDPR, and PCI DSS
Experience with AI/ML, predictive analytics, or advanced data science applications
Excellent communication and stakeholder management skills
Ability to work independently and meet deadlines
Ability to work regular business hours with a flexible schedule
Ability to travel 10% as needed
Professional certifications such as CDMP, AWS Certified Data Analytics Specialty, or TOGAF preferred
Master’s degree preferred

Benefits

Comp & perks

Remote work in Mexico
Flexible work schedule
Professional development
Travel opportunities (10% as needed)