5 дней назад
Data Platform Architect
140 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Platform Architect (Cloud Data Platforms): Defining and leading an enterprise data platform across ingestion, storage, processing, governance, and consumption layers with an accent on lakehouse architecture, streaming systems, data modeling, and platform scalability. Focus on designing governance and lineage capabilities, optimizing cloud infrastructure and costs, and leading complex data-platform initiatives across engineering, analytics, ML, and business stakeholders.
Location: 100% remote within the United States
Salary: $140,000–$180,000 annually
Company
Technology consulting and software development organization delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Define and lead architecture for enterprise data platforms spanning ingestion, storage, processing, governance, and consumption.
- Set standards for data modeling, platform design, and data lifecycle management.
- Partner with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.
- Lead large data-platform initiatives across multiple teams.
- Drive governance, lineage, catalog, networking, identity, and cloud cost-optimization capabilities.
Requirements
- Must be based in the United States and authorized to work as a U.S. Citizen, Green Card Holder, EAD Holder, or H-1B transfer candidate.
- New H-1B visa sponsorship is not available.
- Eight or more years of data-engineering experience, including significant architecture experience; the position listing specifies 15+ years of overall experience.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- Deep expertise in at least two major data platforms, such as Snowflake, Databricks, BigQuery, or Redshift.
- Experience with lakehouse architectures, modern table formats, streaming systems, Spark, Flink, or Kafka at production scale, plus data modeling and stakeholder management.
Nice to have
- Experience with data mesh or data product architectures.
- Familiarity with dbt Semantic Layer, Cube, or LookML.
- Experience in regulated industries with data residency or audit requirements.
- Cloud or platform certifications and public talks or writing on data architecture.
Culture & Benefits
- Full-time direct W2 employment.
- Remote work within the United States.
- Established organization with opportunities for career growth.
- Equal employment opportunity commitment across recruitment, employment, and career development.
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