Senior Data Architect

LatentView Analytics is one of the world’s largest and fastest-growing digital analytics firms.

We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. LatentView provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, and optimize investment decisions.

The Senior Data Architect is responsible to Act as technical advisor to senior executives on data modernization, AI readiness, and platform consolidation strategies

Role: Data Architect

Location: Springfield, Missouri (Onsite is Must)

Authorized to work in the United States

No Need of Visa sponsorship

Job Description

• Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms.
• Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities.
• Architect and design highly scalable, resilient, cost optimal and secure data platforms.
• Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data.
• Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies.
• Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks.
• Act as technical advisor to senior executives on data modernization, AI readiness, and platform consolidation strategies.
• Serve as a strategic translator between complex business challenges and modern data architecture by leading domain-level and cross-domain data product strategy engagements.
• Design composable data assets and feature stores that enable real-time and offline access patterns for ML models, AI agents, and decision orchestration systems.

Job responsibility *

• Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, Snowflake, Iceberg, Advanced SQL, Erwin, dbt, Kafka, Alation, Collibra)
• Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control.
• Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats.
• Advanced expertise in programming languages such as Python, Scala, with the ability to architect complex data solutions.
• Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect.
• Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns.
• Experience leading platform modernization, tool evaluation, and architecture standardization across business domains.
• Drive strategic KPI standardization by partnering with stakeholders, data stewards, and product teams to architect reusable semantic layers and metric definitions that enable trustworthy insights and LLM agent reasoning.
• Preferred:
• Proven success enabling Iceberg-based, multi-cloud, interoperable data platforms with robust metadata, access control, and lineage frameworks.
• Experience integrating testing and validation frameworks into CI/CD workflows for dbt transformations, pipeline observability, and ML feature testing.
• Experience preparing enterprise data platforms for trustworthy insights, AI agentic readiness, including semantic alignment, real-time feature pipelines, and explainability.
• Communication and presentation skills with the ability to convey complex architectural decisions to both technical and non-technical stakeholders.

EEO Statement

“At LatentView Analytics LLC, we value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at usrec@latentview.com. LatentView Analytics LLC will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.”