Data Platform Analytics Architect

We are seeking a highly strategic and technically grounded Data Platform Analytics Solutions Architect to help drive the next phase of growth for our X10K data platform business.

This is a customer-facing architect role that leads with a data and workload-first perspective, focusing on how enterprise data is ingested, stored, processed, queried, governed, and consumed across modern analytics environments.

The role will operate at the intersection of enterprise analytics, data architecture, modern data platforms, and infrastructure, helping customers modernize traditional data warehouse environments into more open, scalable, performant, and flexible data lake and data Lakehouse architectures.

A major focus will be identifying and developing opportunities around analytics platforms such as Vertica, SingleStore, and Cloudera, while helping customers evaluate alternatives to traditional tightly coupled legacy Enterprise Data Warehouse platforms.

Key Responsibilities

Data-Centric Analytics Architecture

• Lead architecture discussions starting with the customer's data, applications, and analytics requirements
• Design modern analytics architectures by optimizing data ingestion and ETL/ELT pipelines, compute-to-data access patterns, query performance and concurrency, data placement and movement, storage and compute scalability, open data access and interoperability, data lifecycle and retention, and performance, reliability, and cost efficiency
• Help customers evolve from infrastructure-centric architectures toward data-centric architectures where multiple analytics engines and applications can leverage common enterprise data assets
• Recommend design optimizations that improve performance, scalability, operational simplicity, resiliency, and economics

Data Warehouse Modernization

• Lead technical assessments of traditional enterprise data warehouse environments
• Identify workloads and data sets that are strong candidates for modernization
• Analyze existing environments based on capacity, performance, ETL/ELT, concurrency, licensing and make informed recommendations and solution alternatives
• Develop modernization strategies that transition customers from traditional data warehouses toward modern analytical databases and data Lakehouse architectures

Analytics Platform Architecture

• Develop deep expertise in analytics and data platforms strategically aligned to X10K
• Articulate the architectural differences between traditional shared-nothing data warehouses, distributed databases, cloud-native databases, data lakes, and Lakehouse architectures
• Help customers select the appropriate architecture based on workload requirements
• Work with strategic software partners to develop validated solutions, best practices, reference architectures, sizing guidance, and repeatable deployment patterns

Analytics Solution Architecture & Sizing

• Scope and size enterprise analytics environments based on data volumes, size, ingest rate, retention, SLA, and other customer specific functional requirements
• Understand how analytical database behavior impacts infrastructure requirements
• Assess and establish realistic performance expectations across the complete analytics pipeline
• Develop sizing methodologies that field architects and sales teams can use consistently across analytics opportunities

Customer Engagement & Deal Leadership

• Lead technical discovery sessions with enterprise customers to identify, shape, and qualify analytics modernization opportunities
• Translate business objectives into scalable analytics and data platform architectures
• Understand both the technology and business drivers behind major data warehouse modernization initiatives
• Serve as a trusted advisor during complex architecture and platform transformation discussions

Migration & Modernization Strategy

• Help customers assess and build practical migration strategies for large-scale analytics environments
• Develop phased approaches that allow customers to modernize without requiring unnecessary 'big bang' migrations

Cross-Functional Leadership

• Partner closely with Product Management to influence X10K analytics roadmap priorities, prioritize feature/functionality, and identify competitive gaps
• Partner with engineering, performance teams, ISVs, and solution teams to validate important analytics workloads

Required Qualifications

• 8+ years of experience in technical presales, solutions architecture, enterprise architecture, database architecture, or data engineering
• Strong understanding of enterprise analytics and modern data architectures
• Experience designing or supporting large-scale analytics environments
• Strong understanding of analytical database characteristics
• Experience with one or more enterprise analytics platforms
• Demonstrated ability to lead architecture discussions from data and workload requirements
• Ability to map end-to-end data flows across ingestion, transformation, storage, analytics, and consumption
• Experience evaluating modernization strategies for traditional database or data warehouse environments
• Ability to understand and evaluate performance requirements for large-scale analytical workloads
• Proven ability to lead customer discovery and translate business and technical requirements into solution architectures
• Strong communication skills with the ability to engage both deeply technical and executive audiences