Data Platform Analytics Architect

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

📋 Description

• Facilitate discussions on data-centric analytics architecture with customers.

• Evaluate customer data, applications, analytics needs, workloads, and data flows.

• Create contemporary architectures for analytics, data lakes, and data lakehouses.

• Enhance ingestion and ETL/ELT pipelines, as well as query performance, concurrency, data placement, scalability, interoperability, lifecycle, reliability, and cost effectiveness.

• Review traditional enterprise data warehouse environments to pinpoint candidates for modernization.

• Formulate migration and modernization strategies, including phased implementations.

• Cultivate expertise and opportunities surrounding Vertica, SingleStore, Cloudera, Splunk, and Elastic.

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

• Create sizing methodologies, reference architectures, best practices, and repeatable deployment frameworks.

• Lead technical discovery sessions, translating business goals into scalable architectures.

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

• Shape the X10K analytics roadmap priorities and pinpoint competitive gaps.

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

⛳️ Requirements

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

• Profound knowledge of enterprise analytics and modern data architectures, including enterprise data warehouses, analytical databases, data lakes, data lakehouses, distributed data platforms, object storage, and ETL/ELT pipelines.

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

• Strong understanding of characteristics of analytical databases, such as data ingestion, query processing, concurrency, data distribution, partitioning, performance, and capacity scaling.

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

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

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

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

• Ability to comprehend and assess performance requirements for large-scale analytical workloads.

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

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

🏝️ Benefits

• Comprehensive suite of health and wellbeing benefits that support physical, financial, and emotional wellness.

• Opportunities for personal and professional development.

• Flexible management of work and personal needs.

• An inclusive workplace culture.

• Commitment to Equal Employment Opportunity for Veterans, Disabled individuals, and members of the LGBT community.