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LatentView Analytics · 1 day ago

Senior Data Architect

California, United States

Full-time

Onsite

Senior Level, Lead/Staff

$160K/yr - $170K/yr

10+ years exp

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation. They are seeking a Senior Data Architect responsible for leading the architecture and design of scalable data analytics platforms and collaborating with clients to define cloud-native solutions.

AnalyticsBig DataConsultingMachine Learning

Growth Opportunities

No H1B

Responsibilities

Lead the end-to-end architecture and design of scalable, secure, and cost- optimized Snowflake/AWS/GCP data analytics platforms

Architect data engineering systems incorporating Big Data, ML Feature Stores, Data Governance, Data Quality (DQ) Frameworks, and Semantic Layers

Collaborate with clients, architects, and business stakeholders to define cloud-native solutions that meet business and technical requirements

Ensure data security, governance, and compliance are embedded into all solutions

Oversee the design and implementation of data models, schemas, and integration frameworks on Snowflake

Drive the development of high-performance ETL/ELT pipelines using Snowflake-native features and modern orchestration tools

Implement and manage data engineering systems such as MDM, Data catalogs, Metadata management, and enterprise data integration

Ensure data quality, lineage, and cataloging are built into the engineering workflows

Able to analyze & discover opportunities to optimize Data Architecture, ETL design, data pipelines, data infrastructure on Snowflake/AWS/GCP and able to design solutions to service the discovered opportunities

Conduct client workshops to understand business and technical requirements, probe needs, and identify solution opportunities

Translate client discussions into product backlogs and technical initiatives that align with business priorities

Partner with sales, pre-sales to support GTM activities — creating solution collaterals, demos, and client presentations

Actively participate in RFP responses, client workshops, and technical evangelism to showcase the organization’s capabilities

Provide thought leadership on Snowflake/AWS/GCP implementations and emerging data engineering trends

Qualification

SnowflakeAWSGCPData EngineeringData ModellingETL/ELT DevelopmentData GovernanceClient InteractionStakeholder ManagementTechnical RoadmapsRFP ManagementData CatalogingData SecurityCloud EcosystemsReal-time Streaming ToolsCertificationsLeadershipCross-functional Collaboration

Required

Applicants must have authorization to work without sponsorship

10–14 years of experience in data engineering, with 4+ years of hands-on expertise in Snowflake/AWS/GCP

Proven experience in data modelling, ETL/ELT pipeline development, and integration frameworks

Strong leadership, client interaction, and stakeholder management skills and cross-functional collaboration

Ability to understand client needs, probe requirements, and translate them into actionable technical roadmaps

Hands-on experience with cloud ecosystems (AWS / Azure / GCP) integrated with Snowflake/Redshift/Big Query

Should have Architected at least one Enterprise Data Lakehouse Solution using Snowflake/AWS/GCP

Should know how to design/architect various enterprise data analytics systems like Data Mart, Features Store, MDM, Data Catalog, Meta-data Driven Batch/Streaming Ingestion Framework, Data Quality Framework, MLOps Framework, GenAI/Agentic AI Engineering Frameworks

Should be a very fluent communicator on Data Engineering Subject Matter

Should be experienced in responding to DE RFPs

Should be able to conduct DE workshops with customers independently and document backlogs