8 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Principal Data Architect (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Principal Data Architect (AI) (Databricks/Snowflake): Architecting and governing data structures, pipelines, lineage, security, and downstream consumption across isolved's HCM platform with an accent on medallion architecture, data mesh, data governance, and scalable data modeling. Focus on designing production data pipelines with PySpark, Python, and SQL, integrating batch and streaming systems, and solving complex data integrity, privacy, and cost optimization challenges.
Location: Remote within the USA
Company
provides human capital management solutions covering HR, payroll, benefits, workforce management, talent management, analytics, and artificial intelligence.
What you will do
- Architect and govern data structures, classifications, flows, lineage, integrity, and cleanliness across the full data lifecycle.
- Design and evolve medallion architecture, data mesh, data cubes, materialized views, dimensional models, semantic layers, and data warehouses.
- Architect and optimize pipelines using Databricks, Snowflake, dbt, Fivetran, Hightouch, Airflow, PySpark, Python, and SQL.
- Define data governance, access controls, cataloging, metadata, master data management, retention, archival, and data-sharing practices.
- Partner with engineering, platform, integrations, product, analytics, security, compliance, and customer-facing stakeholders.
- Document architecture standards and mentor engineers on data best practices while evaluating AI-driven development and automation.
Requirements
- Bachelor's degree in computer science, data engineering, information systems, or a related field, or equivalent practical experience.
- 10β15 years of related experience across big data, data warehousing, data science, or data analytics.
- Strong Databricks experience, preferably on Azure, with expert SQL and hands-on PySpark and Python skills.
- Experience with Snowflake, dbt, Git, GitHub Actions, Airflow or equivalent orchestration, and data modeling using star and snowflake schemas.
- Experience with data governance, cataloging, data quality, privacy, and compliance for HR and payroll data, including PII, SOC 2, GDPR, and CCPA.
- Strong stakeholder communication and presentation skills, including customer-facing and executive-level engagement.
Nice to have
- Experience with Terraform, Azure infrastructure, Microsoft Purview, Collibra, Alation, Great Expectations, or dbt tests.
- Familiarity with Power BI, Tableau, Kafka, Event Hubs, Snowflake Secure Data Sharing, or Databricks Delta Sharing.
- Experience with Parabola.io, Workato, Hadoop, Hive, HBase, HDFS, YARN, or Spark.
Culture & Benefits
- Remote role designated for candidates in the USA.
- Work involves cross-functional collaboration across data engineering, platform, integrations, product management, analytics, security, and compliance.
- operates as an equal opportunity employer and provides disability accommodations.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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