3 дня назад
Lead Data Architect (Databricks)
120 900 - 187 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Architect (Databricks/Spark/Kafka): Applying data architecture to projects and data products by designing solution architectures, data models, pipelines, reusable frameworks, and implementation standards with an accent on enterprise data integration, scalable data platforms, and stakeholder alignment. Focus on validating new patterns through proofs of concept, designing CDC, event-streaming, and batch ingestion for varied data sources, and mentoring delivery teams through implementation.
Location: Remote applicants must reside in Virginia, North Carolina, Washington DC, or Maryland. Applicants within 50 miles of the Richmond or Lynchburg offices must work hybrid in-office on Tuesdays, Wednesdays, and Thursdays.
Salary: $120,900–$187,000 national range, plus eligibility for a performance-based bonus incentive plan.
Company
provides guidance, products, and services that help families navigate aging and long-term care.
What you will do
- Translate business requirements into solution architectures covering infrastructure, data modeling, integration, and coding design.
- Evaluate project and data product scope, timelines, trade-offs, costs, and expected business value.
- Create solution architecture, data model, and data pipeline diagrams, along with technology decision trees.
- Lead proofs of concept and establish reusable design patterns, frameworks, coding standards, and shared functions.
- Guide data engineering, modeling, infrastructure, cloud, and delivery teams throughout the SDLC.
- Build stakeholder alignment, improve architecture adoption, and mentor teams on effective implementation.
Requirements
- At least five years of experience as a data architect, data engineer, data modeler, or in related hands-on roles supporting analytical and operational systems.
- Experience combining strategic architecture leadership with practical data solution implementation and proofs of concept.
- Strong knowledge of analytical and operational databases, data modeling, data pipeline design, coding frameworks, and modern data platforms.
- Hands-on experience with Databricks, Spark, Kafka, ingestion tools, Lakehouse architectures, and related technologies.
- Experience designing ingestion using change data capture, event streaming, and batch processing for structured, semi-structured, and unstructured data.
- Four-year college degree or equivalent experience; a master’s degree is preferred.
Nice to have
- Certifications relevant to data architecture and solution design.
- Knowledge of cloud services, networking, security practices, and hardware configurations.
- Experience applying AI in data solutions.
Culture & Benefits
- Healthcare coverage, multiple 401(k) options, and an employer-funded retirement account feature.
- Paid time off, 12 paid holidays, volunteer time off, and paid family leave.
- Disability, life, and long-term care insurance.
- Tuition reimbursement, student loan repayment, and training and certification support.
- Wellness, caregiver, mental health, financial, and legal support services.
- This role is not eligible for employment visa sponsorship.
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