Data Architect

Tech Holding

Data Architect role at Tech Holding focusing on designing scalable data architecture and foundations. Seeking expert in enterprise data platforms with strong governance and integration skills.

Posted 7/23/2026contractLos Angeles • California • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing scalable data architectures across cloud and hybrid environments, with a strong focus on data modeling, integration, governance, and security. Proven ability to collaborate with cross-functional teams to ensure data quality and usability while translating complex technical concepts into actionable strategies.

Highest-signal resume keywords

Data ArchitectureData ModelingCloud Environments (AWS, Azure, GCP)Data GovernanceData Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureData ModelingData IntegrationData GovernanceData QualityMaster Data ManagementBatch ArchitectureStreaming ArchitectureAPI-Based ArchitectureData Security

Soft Skills

Strong CommunicationStakeholder Management

Tools & Technologies

SnowflakeDatabricksBigQueryRedshiftSynapse

Industry Keywords

Enterprise Data PlatformsData LakesLakehousesData WarehousesData Lineage

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Define current-state and future-state data architecture across enterprise platforms and applications.
Design scalable data foundations across cloud and hybrid environments.
Establish standards across data ingestion, storage, transformation, modeling, metadata, lineage, quality, and governance.
Create architecture patterns for batch, streaming, event-driven, and API-based data integration.
Develop conceptual, logical, and physical data models aligned with business and technical requirements.
Assess existing data platforms and identify gaps across scalability, quality, governance, integration, security, and accessibility.
Partner with engineering, product, analytics, security, and business teams to ensure enterprise data is trusted, usable, and properly governed.
Support data architectures that enable analytics, generative AI, retrieval-augmented generation, and other emerging technology use cases.
Evaluate data platforms, tools, and technologies based on scalability, security, maintainability, and business needs.
Translate complex technical concepts into clear recommendations, roadmaps, and architecture documentation for technical and executive stakeholders.

Requirements

What you’ll need

8+ years of experience in data architecture, enterprise data platforms, data engineering, or a related field.
Demonstrated experience designing or building scalable enterprise data foundations.
Strong knowledge of data modeling, integration architecture, metadata, lineage, governance, data quality, and master data management.
Experience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable technologies.
Experience architecting data solutions in AWS, Azure, GCP, or hybrid cloud environments.
Strong understanding of data lakes, lakehouses, data warehouses, and modern data platform architecture.
Experience designing batch, streaming, event-driven, and API-based data architectures.
Strong understanding of data security, privacy, access control, and responsible data usage.
Ability to assess complex environments and translate findings into practical architecture and implementation roadmaps.
Strong communication and stakeholder management skills.
Must be based in the Los Angeles area and able to work onsite three days per week.

Benefits

Comp & perks

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace