Data Platform Analytics Architect

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

📋 Description

• Facilitate discussions centered on data architecture, focusing on customer data, application needs, and analytical requirements.

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

• Enhance the efficiency of ingestion and ETL/ELT pipelines, access to compute-to-data, query performance, data arrangement, scalability, interoperability, lifecycle management, reliability, and cost-effectiveness.

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

• Formulate migration and modernization plans for analytical databases and data Lakehouse architectures.

• Cultivate expertise and solutions related to Vertica, SingleStore, Cloudera, Splunk, and Elastic.

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

• Create sizing methodologies, reference architectures, deployment patterns, migration strategies, and competitive approaches.

• Lead technical discovery meetings and convert business objectives into scalable analytics and data platform architectures.

• Act as a trusted advisor in complex discussions regarding architecture and platform transformations.

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

• Shape the priorities for the X10K analytics roadmap and identify competitive deficiencies.

• Equip sales and presales teams to recognize, qualify, position, and design analytics opportunities at scale.

⛳️ Requirements

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

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

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

• Strong understanding of the characteristics of analytical databases, 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.

• Proven ability to lead architectural discussions based on data and workload requirements.

• Ability to map comprehensive data flows from ingestion, transformation, storage, analytics, to consumption.

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

• Capability to assess and evaluate performance requirements for large-scale analytical workloads.

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

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

🏝️ Benefits

• A comprehensive benefits package that promotes physical, financial, and emotional wellbeing.

• Opportunities for personal and professional development.

• Flexible work arrangements to accommodate personal needs.

• An inclusive workplace culture.

• A commitment to Equal Employment Opportunity.