7 дней назад
Enterprise ServiceNow Architect (Data Architecture)
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise ServiceNow Architect (Data Architecture): Define and lead the architecture of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption layers with an accent on lakehouse, warehouse, streaming, and security architecture. Focus on designing scalable data pipelines, establishing governance and data-product standards, optimizing platform cost and capacity, and building disaster-recovery and high-availability strategies.
Location: 100% remote within the United States
Salary: $100,000–$150,000 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 the target-state architecture for enterprise data platforms across 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, batch, and streaming solutions using platforms such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
- Design governance, lineage, catalog, security, masking, encryption, identity-aware access, disaster recovery, and high-availability capabilities.
- Partner with ML, BI, product, data engineering, analytics, and business stakeholders to align platform capabilities with consumption needs.
- Lead architecture reviews, optimize cost and capacity, mentor engineers and architects, and produce architecture artifacts and reference patterns.
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.
- 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 experience implementing governance, lineage, and catalog capabilities.
- Must be authorized to work in the United States; 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 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.
- Fully remote work within the United States.
- Career growth opportunities within an established consulting and software development organization.
Hiring process
- Submit a resume for consideration.
- Further details about the opportunity are available through the hiring contact.
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