Role Description As Building Architect, you'll support the design and deployment of Giga's data center product line across the United States. You'll work at the intersection of standardized modular design and real-world project execution, adapting repeatable solutions to meet local code requirements and site-specific constraints. - Help translate our industrial manufacturing approach into permit-ready architectural packages that satisfy Building Officials, Fire Marshals, and Planning Departments across diverse jurisdictions. - This role combines practical architectural problem-solving with mission-critical execution. - Develop architectural documentation, coordinate with internal and external stakeholders, and contribute to the rapid deployment of data center facilities throughout the country. Responsibilities - Develop architectural drawing packages for data center deployment projects using Revit. - Coordinate closely with Structural, Mechanical, Electrical, and Civil teams to ensure integrated project delivery. - Adapt standardized building solutions to meet local jurisdictional requirements and project-specific constraints. - Support permit submissions and assist with responses to plan review comments from local Authorities Having Jurisdiction (AHJs). - Participate in life safety and code analysis efforts, including occupant load calculations, egress strategies, and accessibility compliance. - Assist with preparation of code analysis sheets, life safety plans, and permit documentation. - Design and coordinate building envelope systems, including pre-engineered metal building (PEMB) components and waterproofing details. - Produce site plans that account for operational requirements, logistics, utility coordination, and future expansion opportunities. - Maintain architectural Revit models and ensure proper coordination with linked consultant models. - Develop and maintain architectural details, schedules, and standardized project components. - Support internal design reviews and collaborate with cross-functional teams to improve deployment efficiency. - Participate in occasional meetings with regulatory officials, consultants, and project stakeholders as needed. Qualifications - Bachelor's (B.Arch) or Master's (M.Arch) degree in Architecture. - 5+ years of architectural experience. - Strong proficiency in Autodesk Revit for BIM modeling and documentation. - Experience producing construction documents and coordinating multidisciplinary projects. - Working knowledge of the International Building Code (IBC) and accessibility requirements under ADA and ANSI A117.1. - Excellent communication and organizational skills. - Ability to thrive in a fast-paced, highly collaborative environment. Requirements - Experience with mission-critical or data center facilities. - Understanding of the design coordination and delivery requirements common in fast-track data center environments. - Experience coordinating with large multidisciplinary consultant teams. - Familiarity with permit submissions and responses to AHJ comments. Bonus points - Registered Architect (RA) license. - NCARB certification. - Experience with modular construction, prefabrication, or containerized architecture. - Knowledge of pre-engineered metal building (PEMB) systems. - Experience with design-build or fast-track project delivery. - Familiarity with NFPA 101 and life safety planning. - Experience creating standardized architectural solutions for repeatable deployment. - Startup or high-growth company experience. - Experience with industrial occupancy classifications and mixed-use interpretations. - Familiarity with architectural visualization tools such as Enscape, Lumion, or Twinmotion. Benefits - Subsidized health, dental, and vision insurance. - Equity (options) in a rapidly growing startup. - 401(k) with 4% employer match. - Unlimited PTO. - Parental leave. - Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA). - Commuter benefits. - Monthly team onsites where all offices come in person to collaborate. Who we hire We hire people who thrive in chaos and get sharper under pressure. You don't wait to be told what to do, you spot the gap and fill it. When there's work to be done, you do it. You make decisions with the information you have, move fast, and adjust along the way. We're not looking for perfect; we're looking for people who get things done. Equal Opportunity Employer Statement Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Giga Energy complies with all applicable labor laws, including the California Fair Employment and Housing Act (FEHA) and other relevant state and federal regulations. We provide reasonable accommodations for qualified individuals with disabilities and encourage applicants who require accommodations during the hiring process to contact us.

• Own Enterprise Architecture: Consolidate the disparate architectural conventions of acquired entities into a single set of enterprise standards, reference architectures, and playbooks. • Publish NorthStar Principles: Define, publish, and maintain the NorthStar technical principles—covering front-end frameworks, back-end services, authentication, data platform, and CI/CD—and keep them current as technology evolves. • Drive Enterprise Technology Decisions: Lead enterprise-level technology choices (e.g., AI tooling, UI stack, CIAM, data platform) with clear rationale, and ensure consistent adoption across all engineering teams. • Promote shared component libraries, common patterns, and a consistent look, feel, and engineering experience across all JD Power products. • Lead Enterprise Architecture Team: Build, mentor, and direct a small, high-caliber team of enterprise architects responsible for cross-cutting and enterprise-scope initiatives. • Lead the Architect Guild: Lead the guild of architects embedded within engineering teams under the SVP of Engineering—setting their charter, raising their capability, and aligning their work to enterprise standards while preserving team autonomy. • Establish a federated (hybrid) governance model that balances local team ownership of system-level decisions with enterprise consistency on cross-cutting concerns. • Develop architecture talent, define career paths and expectations for architects across the organization, and grow the bench of senior technical leaders. • Design and run a two-tier architecture review process: product-specific reviews led by embedded architects, and enterprise-level reviews led by the enterprise architecture team. • Stand up and lead an architecture council—comprising enterprise, embedded, and TechOps architects—to evaluate initiatives of enterprise scope and resolve cross-cutting design decisions. • Integrate architecture review into the quarterly planning cadence, with clear triggers, standardized review artifacts, and a documented path for escalation from team-level to enterprise-level review. • Centralize architecture review artifacts and decisions (e.g., ADRs) so that rationale is transparent, discoverable, and reusable across the organization. • Partner closely with the SVP of Engineering, the VP of Infrastructure, TechOps, and Security to ensure architecture decisions are practical, secure, and operable. • Provide executive leadership with clear visibility into key architectural decisions, technical risk, and standards adoption across the engineering organization. • Influence engineering teams toward sound architecture through clarity, credibility, and collaboration rather than mandate alone.

Role Description We are seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities - Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. - Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. - Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. - Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. - Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. - Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. - Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. - Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. - Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. - Drive cost optimization and capacity planning across the data platform estate. - Design disaster recovery, multi-region, and high-availability strategies for critical data assets. - Mentor data engineers and architects on platform standards and emerging best practices. - Produce architecture artifacts including context diagrams, decision records, and reference patterns. - Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. - Eight or more years of experience in data engineering, with significant time in architecture roles. - Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. - Strong understanding of lakehouse architectures, modern table formats, and streaming systems. - Hands-on experience with Spark, Flink, or Kafka at production scale. - Strong data modeling expertise across dimensional, normalized, and data-vault patterns. - Experience implementing governance, lineage, and catalog capabilities. - Solid grasp of cloud platforms, networking, identity, and cost optimization. - Excellent communication, facilitation, and stakeholder management skills. - Track record of leading large data platform initiatives across teams. Preferred Qualifications - Experience with data mesh or data product architectures. - Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. - Exposure to regulated industries with strict data residency or audit requirements. - Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). - Public talks or writing on data architecture. Requirements - 100% Remote (Continental United States) - Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) - No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. - Technical coding assessment is mandatory. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699.

Role Description Estamos em busca de um(a) profissional apaixonado(a) por dados e soluções em nuvem para integrar nosso time de tecnologia e atuar em projetos desafiadores e transformadores. Se você tem experiência em arquitetura de dados, estatística, desenvolvimento de dashboards e interesse em machine learning e big data, essa oportunidade é para você! - Conduzir análise negocial e levantamento de requisitos para projetos de dados. - Definir e implementar a arquitetura de dados corporativa, assegurando qualidade, integridade, segurança e governança. - Modelar bancos de dados relacionais e multi-relacionais, incluindo Data Warehouse e Data Lake. - Desenvolver pipelines de ETL/ELT e integrações entre sistemas. - Criar dashboards e relatórios para apoiar a tomada de decisão. - Aplicar técnicas de estatística descritiva e inferencial, testes de hipótese e análise de dados. - Implementar soluções básicas de Machine Learning (regressão, classificação, clusterização) e redes neurais (MLP, RNN, CNN), além de explorar AI generativa (LLM) como diferencial. - Trabalhar com streaming de dados utilizando ferramentas como Kafka e Nifi, e programação em Scala e/ou Spark. - Desenvolver e publicar modelos em ambientes de cloud (AWS, Azure, GCP ou IBM Cloud). - Atuar com containers e orquestração (Docker, Kubernetes) em ambientes de produção. - Trabalhar com Big Data: HDFS, MapReduce, Hive, Flume. Qualifications - Experiência sólida em administração, modelagem e governança de dados (idealmente 5 anos ou mais). - Domínio em modelagem conceitual, lógica e física. - Experiência em bancos de dados SQL (Oracle, SQL Server, PostgreSQL, MySQL) e NoSQL (MongoDB, Redis, Cassandra). - Experiência com ferramentas de modelagem, governança, metadados, MDM, qualidade e catálogo de dados. - Conhecimento em integrações, APIs, eventos e arquiteturas complexas. - Conhecimentos em Python. - Experiência em desenvolvimento de dashboards. Requirements - Experiência com Machine Learning e AI generativa. - Experiência em streaming, Big Data e Cloud. - Visão sistêmica e orientação estratégica. - Comunicação clara e assertiva. - Liderança técnica e colaboração entre áreas. Benefits - Assistência Médica - 100% subsidiada pela empresa (titular e dependentes). - Assistência Odontológica. - Vale Refeição ou Alimentação sem desconto. - Seguro de vida. - Previdência Privada. - Gympass. - Opção de compra de ações da empresa com desconto. - Desconto Farmácia. - Auxílio Creche. - Parceria com escola de idiomas. - Licença Maternidade e Paternidade Estendida. - PPR.