Data Platform Analytics Architect

🕒 September 2

🌽 Illinois, North Carolina, +2 more states – Remote

🌽 Illinois – Remote 🌲 North Carolina – Remote 🚗 Michigan – Remote 🤠 Texas – Remote

💵 $128.8k - $302.4k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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👻 Ghost score 10%

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Hewlett Packard Enterprise

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Lead data-centric architecture discussions based on customer data, applications, and analytics requirements • Design modern analytics, data lake, and data Lakehouse architectures • Optimize ingestion and ETL/ELT pipelines, compute-to-data access, query performance, data placement, scalability, interoperability, lifecycle, reliability, and cost efficiency • Assess traditional enterprise data warehouse environments and identify modernization candidates • Develop migration and modernization strategies for analytical databases and data Lakehouse architectures • Develop expertise and solutions around Vertica, SingleStore, Cloudera, Splunk, and Elastic • Scope and size enterprise analytics environments based on data volumes, ingest rates, retention, SLAs, and functional requirements • Develop sizing methodologies, reference architectures, deployment patterns, migration patterns, and competitive strategies • Lead technical discovery sessions and translate business objectives into scalable analytics and data platform architectures • Serve as a trusted advisor in complex architecture and platform transformation discussions • Partner with sales, solution architects, Product Management, engineering, performance teams, ISVs, and strategic ecosystem partners • Influence X10K analytics roadmap priorities and identify competitive gaps • Enable sales and presales organizations to identify, qualify, position, and architect analytics opportunities at scale

🎯 Requirements

• 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, including data ingestion, query processing, concurrency, data distribution, partitioning, performance, and capacity scaling • Experience with one or more enterprise analytics platforms such as Vertica, SingleStore, Cloudera, Teradata, or Oracle/Exadata • 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 technical and executive audiences

🏖️ Benefits

• Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Flexible work and personal needs management • Inclusive workplace culture • Equal Employment Opportunity workplace

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