Databricks Data & AI Architect - IoT & Time-Series Focus

EPAM Systems

Sydney

Vor Ort

AUD 180.000 - 250.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Career development
Mentoring programs
Certification support
Global opportunities

Zusammenfassung

EPAM Systems, Inc. in Sydney seeks a Data and AI Architect to design shared data architecture for Agentic AI solutions on Databricks. You will shape secure ingestion, modeling and governance for IoT and time-series data, enabling RAG retrieval patterns with Delta Lake, Unity Catalog and Vector Search.

You will define scalable, reusable foundations and guide cross-functional teams in engineering, product and security to implement architecture decisions with risk management and quality at scale.

Qualifikationen

  • Databricks architecture in production environments.
  • Data modeling for IoT and time-series data.
  • Ingestion pipelines across batch and streaming patterns.

Aufgaben

  • Design shared data and AI architecture on Databricks for Agentic AI solutions.
  • Define data modeling standards for IoT and time-series domains.
  • Ingest and process pipelines using Spark and Delta Lake.
  • Establish governance, lineage and access controls with Unity Catalog.
  • Define secure data access patterns for internal teams and downstream consumption.
  • Design RAG retrieval patterns including indexing for Vector Search.
  • Produce architecture decision records and reusable templates.
  • Partner with stakeholders to align scope, manage risks and drive implementation quality.

Kenntnisse

Databricks
Delta Lake
Unity Catalog
Spark
Vector Search
RAG retrieval
Data modeling
IoT data
Time-series data
Security governance

Jobbeschreibung

EPAM Systems, Inc. in Sydney seeks a Data and AI Architect to design shared data architecture for Agentic AI solutions on Databricks. You will shape secure ingestion, modeling and governance for IoT and time-series data, enabling RAG retrieval patterns with Delta Lake, Unity Catalog and Vector Search.

You will define scalable, reusable foundations and guide cross-functional teams in engineering, product and security to implement architecture decisions with risk management and quality at scale.

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