Data Platform Analytics Architect

This is a fully remote position, open to applicants in Illinois, +3 more states.

📋 Description

• Spearhead discussions centered on data architecture, taking into account customer data, application needs, analytics requirements, and workloads.

• Create contemporary analytics, data lake, and data Lakehouse architectures.

• Identify and cultivate opportunities involving Vertica, SingleStore, Cloudera, Splunk, Elastic, and X10K.

• Evaluate traditional enterprise data warehouse environments and pinpoint candidates for modernization.

• Formulate strategies for migration and modernization, including phased implementations.

• Define the scope and scale of enterprise analytics environments based on data volumes, ingestion rates, retention policies, SLAs, and operational requirements.

• Facilitate technical discovery sessions and convert business goals into scalable architectures.

• Act as a trusted advisor during discussions on architecture and platform transformations.

• Collaborate with sales, Product Management, engineering, performance teams, ISVs, solution teams, and strategic ecosystem partners.

• Create validated solutions, best practices, reference architectures, sizing methodologies, deployment patterns, competitive strategies, and migration patterns.

• Empower field sales and presales teams to identify, qualify, position, and architect analytics opportunities.

• Influence the roadmap and product direction for X10K analytics.

⛳️ Requirements

• Over 8 years of experience in technical presales, solutions architecture, enterprise architecture, database architecture, or data engineering.

• In-depth understanding of enterprise analytics and modern data architectures.

• Experience in designing or supporting large-scale analytics environments.

• Strong comprehension of analytical database features, including data ingestion, query processing, concurrency, data distribution, partitioning, performance, and capacity scaling.

• Familiarity with one or more enterprise analytics platforms such as Vertica, SingleStore, Cloudera, Teradata, or Oracle/Exadata.

• Capability to lead architecture discussions based on data and workload requirements.

• Proficient in mapping end-to-end data flows encompassing ingestion, transformation, storage, analytics, and consumption.

• Experience in assessing modernization strategies for traditional database or data warehouse environments.

• Ability to understand and evaluate performance requirements for large-scale analytical workloads.

• Demonstrated ability to lead customer discovery and translate business and technical needs into solution architectures.

• Excellent communication skills for engaging with both technical and executive audiences.

🏝️ Benefits

• Comprehensive benefits package that supports physical, financial, and emotional wellbeing.

• Health and wellness benefits.

• Opportunities for personal and professional development.

• Flexible work arrangements to balance work and personal commitments.

• An inclusive workplace culture.