layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Data Architect at Sapsol Technologies Inc, Sacramento, CA

Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures.
Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers.
Establish and govern standard architecture patterns for data ingestion, transformation (ETL/ELT), integration, interoperability, and data sharing across platforms and domains.
Architect scalable and resilient data pipelines and workflows, optimizing for performance, cost, reliability, and operational efficiency.
Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability.
Enable AI/ML capabilities through data architectures that support experimentation, feature engineering, model development, deployment, and production consumption.
Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements.
Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems.
Lead the evaluation and selection of data technologies and platforms in partnership with IT, Enterprise Architecture, and business stakeholders, ensuring alignment with enterprise capabilities and strategy.
Collaborate with Enterprise Architecture, Infrastructure, Application Development, Data Engineering, and business teams to define technology roadmaps, capabilities, and solution strategies.
Provide architectural oversight and governance for data solutions and cloud-native data platforms, ensuring adherence to enterprise standards and addressing risks, gaps, dependencies, and architectural trade-offs.
Drive innovation through feasibility assessments, POCs, and pilots, evaluating emerging technologies and validating new architectural approaches.
Provide architectural oversight for vendor and third-party data solutions, ensuring alignment with enterprise architecture, security, integration, and data standards.
Participate in architecture governance forums, contributing to design reviews, architecture decisions, approvals, and continuous improvement of enterprise data architecture.
Mentor and guide data architects and engineers, promoting architecture best practices, design excellence, and continued capability development.

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