In-Demand Databricks platform engineer Jobs in Cronulla, Nsw

Data and AI Architect
EPAM Systems, Inc. —Sydney NSW
- AI
2h
Databricks Resident Solutions Architect
Ultra Tendency —Sydney NSW
- Remote
- Spanish
- Azure
- Master's degree
Quick Apply
Senior AI Engineer
Karbon —Sydney NSW
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Senior Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
5d
Staff Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
5d
Senior Manager, Data Analytics and AI Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- SQL
- AWS
Senior Solutions Engineer
Tines —Sydney NSW
- Analysis skills
- APIs
- AI
Quick Apply
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Senior Customer Engineer - ANZ
Mixpanel —Sydney NSW
- Contract
- Azure
- Sales
- Databases
- Health insurance
- Dental insurance
Quick Apply
Lakebase Specialist Sales
Databricks —Sydney NSW
- Azure
- Sales
- Databases
Sr. Specialist Solutions Architect
Databricks —Sydney NSW
- Azure
- Computer Science
- AWS
Quick Apply
Software Engineer â€“ Data & AI Platforms - Financial Markets
The Argyle Network —Sydney NSW
- $140,000 a year
- Full-time
- Azure
- Master's degree
- AWS

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Databricks Resident Solutions Architect
Ultra Tendency —Sydney NSW
Provide architecture guidance during pre-sales and proof-of-concept activities. 7+ years of experience in data engineering, cloud architecture, analytics, or…
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databricks platform engineer jobs near cronulla, nsw

Data and AI Architect

EPAM Systems, Inc. -
Sydney NSW

Apply Now

Job Details

2 hours ago

Qualifications

Performance tuning
Data modelling
Unity
AI

Full Job Description

We are seeking 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 and enable RAG retrieval patterns using Delta Lake, Unity Catalog, Spark and Vector Search. You simplify complexity and guide teams toward scalable, reusable designs.

You will define the shared data architecture for Agentic AI solutions built on Databricks. Your focus is creating a secure, scalable and reusable foundation for ingestion, modeling, governance and retrieval patterns that enable AI-ready data products.

You bring a pragmatic systems mindset, and you can translate complex data and AI requirements into clear architecture decisions. You collaborate across engineering, product and security teams, challenge assumptions constructively and manage risks early.

Responsibilities

Design shared data and AI architecture on Databricks across Agentic AI solutions
Define data modeling standards for IoT and time-series domains aligned to analytics and RAG needs
Architect ingestion and processing 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 strategy and datasets for Vector Search
Produce architecture decision records, reference designs and reusable templates
Partner with stakeholders to align scope, manage risks and drive implementation quality

Requirements

Databricks architecture experience in production environments
Data modeling expertise including event, time-series, dimensional and canonical modeling patterns
Ingestion pipeline experience across batch and streaming patterns
IoT and time-series data experience including scale, retention and query optimization
Delta Lake expertise including table design, performance tuning and lifecycle management
Databricks Unity Catalog experience covering governance, lineage and fine-grained access control
Apache Spark expertise for large-scale processing and optimization
Data governance and security experience including policy design and secure-by-default architecture

Nice to have

Experience implementing Vector Search and managing embedding lifecycle
Familiarity with retrieval quality, evaluation signals and RAG tuning considerations
Experience enabling shared data products across multiple teams

We offer

By choosing EPAM, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023.
Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

Life at EPAM

We are a leading global provider of digital platform engineering and development services that has rapidly grown in Australia since 2013.
We adopt a global growth strategy, thinking and acting like start-ups, working in multi-disciplinary teams, and delivering results. With a multinational talented team, we have been delivering innovative solutions for cloud migration, cyber security, digital transformation, etc.
You will work in an open and friendly work environment where your professional skills and experience can stand out.

How We Hire

Here, we summarize the typical journey to finding a job within EPAM.
Apply and tell us about yourself!
Go through some standard interviews:

- General interview with a recruiter
- Technical interview with our technology experts
- Manager interview or Offer interview with a hiring manager

Get ready to join the team!
Not sure if you meet all the requirements? No problem. Let's talk anyway and find out more!
It takes 1 min of application to start the journey with us. Apply now!

Apply Now

Refine Your Search

databricks platform engineer jobs in cronulla, nsw

Data and AI Architect

Databricks Resident Solutions Architect

Senior AI Engineer

Senior Designated Support Engineer

Staff Designated Support Engineer

Senior Manager, Data Analytics and AI Consulting

Senior Solutions Engineer

Senior Consultant - Data & Analytics (Open)

Senior Customer Engineer - ANZ

Lakebase Specialist Sales

Sr. Specialist Solutions Architect

Software Engineer â€“ Data & AI Platforms - Financial Markets

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