Data Architect | Contract | Hybrid in Los Angeles

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

• →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.

• 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.

• Experience supporting generative AI, retrieval-augmented generation, or agentic AI initiatives.
• Familiarity with vector databases, embeddings, semantic layers, knowledge graphs, or similar technologies.
• Experience with data products, data contracts, semantic modeling, or domain-oriented architecture.
• Experience leading data platform modernization or enterprise architecture initiatives.
• Consulting or client-facing experience.

• Bachelor’s Degree in Computer Science or relevant years of work experience

• Los Angeles, California, United States  3x onsite

*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