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10 дней назад

Data Platform Analytics Architect (Data Lakehouse)

161 000 - 378 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Platform Analytics Architect (Data Lakehouse): Designing and modernizing enterprise analytics architectures, data warehouses, and data Lakehouse platforms with an accent on workload-driven architecture, data pipelines, scalability, and performance. Focus on assessing migration opportunities, sizing large-scale analytical environments, separating compute from storage, and leading complex customer modernization strategies.

Location: Remote/Teleworker within the United States; salary information applies to Illinois, Michigan, North Carolina, and Texas.

Salary: USD 161,000–378,000 annual total target compensation, consisting of 80% base salary and 20% target-level sales compensation.

Company

hirify.global is a global edge-to-cloud technology company helping organizations connect, protect, analyze, and manage data and applications.

What you will do

  • Lead customer-facing architecture discussions based on data, application, workload, and analytics requirements.
  • Design scalable analytics, data lake, and data Lakehouse architectures covering ingestion, transformation, storage, querying, governance, and consumption.
  • Assess traditional enterprise data warehouses and develop phased modernization, migration, consolidation, or retention strategies.
  • Architect and size enterprise analytics environments using data volumes, ingest rates, retention, SLAs, concurrency, and performance requirements.
  • Develop solutions around Vertica, SingleStore, Cloudera, Splunk, Elastic, and the X10K data platform.
  • Partner with customers, sales, product management, engineering, solution teams, and software partners to create reference architectures and repeatable go-to-market solutions.

Requirements

  • 8+ years of experience in technical presales, solutions architecture, enterprise architecture, database architecture, or data engineering.
  • Strong knowledge of enterprise data warehouses, analytical databases, data lakes, Data Lakehouse architectures, distributed data platforms, object storage, and ETL/ELT pipelines.
  • Experience designing or supporting large-scale analytics environments and evaluating ingestion, query processing, concurrency, partitioning, performance, and capacity scaling.
  • Experience with at least one enterprise analytics platform such as Vertica, SingleStore, Cloudera, Teradata, or Oracle/Exadata.
  • Ability to lead customer discovery, map end-to-end data flows, evaluate modernization strategies, and translate business and technical requirements into solution architectures.
  • Remote work and compensation details are specified for the United States.

Nice to have

  • Hands-on experience with Vertica, SingleStore, Cloudera, Splunk, or Elastic.
  • Experience with Teradata or Oracle Exadata modernization initiatives.
  • Knowledge of Apache Iceberg, Spark, Trino, modern data catalogs, cloud and hybrid analytics platforms.
  • Experience developing TCO or business cases for database and data platform modernization.
  • Experience influencing product strategy or working with strategic ISVs and Product Management.

Culture & Benefits

  • Remote/teleworker work arrangement.
  • Health and wellbeing benefits for employees and their families.
  • Career development programs and opportunities to build expertise or move across divisions.
  • Inclusive workplace that values varied backgrounds and individual uniqueness.
  • Flexibility to manage work and personal needs.

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