10 дней назад
Data Platform Analytics Architect (Data Lakehouse)
161 000 - 378 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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