2 дня назад
Data Infrastructure Architect
175 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Infrastructure Architect (Enterprise Data Platforms): Defining and leading the architecture of an enterprise data platform across ingestion, storage, processing, governance, and consumption layers with an accent on lakehouse architectures, streaming systems, data modeling, and cloud infrastructure. Focus on setting data standards, implementing lineage and catalog capabilities, and leading large-scale data platform initiatives across engineering, analytics, ML, and business teams.
Location: 100% remote within the United States
Salary: $175,000–$200,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Define and lead the architecture of an enterprise data platform across ingestion, storage, processing, governance, and consumption layers.
- Set standards for data modeling, lifecycle management, and the strategic direction of data infrastructure.
- Partner with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.
- Lead large data platform initiatives across multiple teams and drive architectural decisions.
- Implement governance, data lineage, and catalog capabilities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 8+ years of data engineering experience, including significant architecture experience.
- Deep expertise in at least two major data platforms, such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong knowledge of lakehouse architectures, modern table formats, streaming systems, and dimensional, normalized, and data-vault modeling.
- Production-scale experience with Spark, Flink, or Kafka, plus a solid understanding of cloud platforms, networking, identity, and cost optimization.
- Excellent communication, facilitation, stakeholder management, and cross-team leadership skills.
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, or public talks and writing on data architecture.
Culture & Benefits
- Full-time direct W-2 employment.
- Career growth opportunities within an established organization.
- Equal employment opportunity and a workplace free from harassment and discrimination.
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