3 дня назад
Data Solutions Architect (Data Platforms)
150 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Solutions Architect (Data Platforms): Define and lead the architecture of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption layers with an accent on data modeling, lifecycle management, and scalable cloud infrastructure. Focus on designing lakehouse and streaming architectures, implementing governance and lineage capabilities, and leading complex data-platform initiatives across engineering, analytics, ML, and business teams.
Location: 100% remote within the United States
Salary: $150,000–$180,000 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, data lifecycle management, and platform architecture.
- Establish the strategic direction of data infrastructure and deliver a scalable data foundation.
- Partner with data engineering, analytics, ML, and business stakeholders.
- Lead large data-platform initiatives across multiple teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- At least 8 years of data engineering experience, including significant architecture experience; the posting also lists 6+ years under experience required.
- 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 data modeling patterns.
- Production-scale experience with Spark, Flink, or Kafka, plus governance, lineage, and catalog implementation.
- Knowledge of cloud platforms, networking, identity, cost optimization, communication, facilitation, and stakeholder management.
Nice to have
- Experience with data mesh or data product architectures.
- Familiarity with dbt Semantic Layer, Cube, or LookML.
- Exposure to 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 W-2 employment.
- Remote work within the United States.
- Career growth opportunities within an established organization.
- U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates may apply.
- New H-1B visa petitions are not sponsored for this position.
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