3 дня назад
Data Platform Architect
100 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Platform Architect (Data Platforms): Defining and leading an enterprise data platform across ingestion, storage, processing, governance, and consumption layers with an accent on lakehouse architecture, data modeling, streaming, and security. Focus on designing scalable batch and streaming pipelines, establishing governance and data product standards, optimizing platform costs, and building disaster recovery and high-availability strategies.
Location: 100% remote within the United States
Salary: $100,000–$175,000 annually
Company
Technology consulting and software development organization delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Define the target-state architecture for enterprise data platform ingestion, storage, processing, governance, and consumption layers.
- Establish standards for data modeling, schema evolution, partitioning, file formats, storage organization, and data contracts.
- Architect lakehouse, warehouse, and streaming solutions using platforms such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, and Hudi.
- Design reliable and maintainable batch and streaming pipelines while balancing latency, cost, and performance.
- Lead governance, lineage, catalog, security, disaster recovery, multi-region, and high-availability architecture.
- Guide architecture reviews, mentor data engineers and architects, and partner with ML, BI, product, and business stakeholders.
Requirements
- 8+ years of data engineering experience, including significant experience in architecture roles; the position description also lists 12+ years of 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.
- 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 governance, lineage, catalog, cloud, networking, identity, and cost optimization.
- Must be eligible to work in the United States; U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. New H-1B visa petitions cannot be sponsored.
Nice to have
- Experience with data mesh or data product architectures.
- Familiarity with dbt Semantic Layer, Cube, or LookML.
- Experience with regulated industries, data residency, or audit requirements.
- Cloud or platform certifications and public writing or speaking on data architecture.
Culture & Benefits
- Direct full-time W-2 employment.
- Remote work within the United States.
- Career growth opportunities within an established organization.
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