8 часов назад
Data Architect (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (Databricks): Architecting and evolving a SaaS data platform for analytics and AI with an accent on data ingestion, canonical modeling, governed pipelines, and statistical insight generation. Focus on designing a scalable lakehouse foundation, balancing current and next-generation platforms, and establishing data quality, lineage, and access controls.
Location: Lehi, Utah, United States; hybrid schedule with in-office work Monday-Wednesday
Company
provides a SaaS resident-experience platform that helps property managers collect and act on real-time feedback, improve resident experiences, and strengthen online reputation.
What you will do
- Own the end-to-end architecture of the data platform, including ingestion, transformation, storage, semantic and BI layers.
- Co-drive the technical direction and rollout of a new platform alongside the Staff Software Architect while evolving the existing foundation.
- Define canonical data models, schemas, architecture standards, and scalable lakehouse foundations.
- Design correlation, causation, and statistical models to support reliable analytics and decision-making.
- Build governed, reusable pipelines for BI tools such as Omni and downstream AI/ML use cases.
- Establish data quality, governance, lineage, and access-control practices while mentoring data engineers and evaluating platform investments.
Requirements
- 10+ years of experience in data engineering or data architecture, including 7+ years in architecture or technical leadership.
- Deep expertise in Databricks, Delta Lake, and Unity Catalog, or a comparable modern cloud data platform such as Snowflake.
- Strong knowledge of dimensional modeling, medallion/lakehouse architecture, or data vault methodologies.
- Hands-on experience with ETL/ELT and orchestration tools such as dbt, Airflow, or Fivetran.
- Proficiency in SQL and Python, including distributed processing with Spark/PySpark.
- Experience with data governance, BI and semantic-layer tools, cloud infrastructure, and security or compliance frameworks such as SOC 2 and data privacy regulations.
Nice to have
- Experience with Databricks AI/BI, post-acquisition data integration, or consolidating disparate data sources.
- Databricks Data Engineer, SnowPro, or similar certification.
- Experience with multi-country data residency, privacy, and cross-border data requirements.
- Experience in high-growth SaaS environments or infrastructure consolidation.
- Exposure to feature pipelines, vector stores, or RAG-supporting data architectures.
Culture & Benefits
- Autonomous, collaborative environment focused on innovation and continuous improvement.
- Medical, dental, vision, and group life insurance, with covering 40–90% of premiums for employees and dependents.
- 401(k) plan with corporate matching and pre-tax HSA options.
- Paid parental leave, unlimited time off, and 10 paid holidays annually.
- Monthly wellness reimbursement.
- Benefits are available to full-time employees.
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