Lead Databricks Consultant - Data Platform & Advanced Analytics

BI & DW Australia; Melbourne; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Join a forward-thinking company as a Lead Consultant in Data Platforms and Advanced Analytics, where you will have the opportunity to lead a talented team and architect innovative solutions. This role is crucial for enabling advanced analytics and AI, and involves hands-on work with modern data technologies like Databricks and cloud platforms such as Azure and AWS. You'll be responsible for mentoring team members, designing comprehensive data solutions, and engaging with stakeholders to meet customer requirements. If you are passionate about driving data innovation and have a knack for leadership, this role is perfect for you!

Qualifications

• Expertise in modern data platforms and advanced analytics.
• Experience in leading teams and engaging stakeholders.
• SQL proficiency.
• Python proficiency.
• Team leadership experience.
• Strong business acumen and stakeholder engagement.

Responsibilities

• Mentoring and leading a team in data platform architecture.
• Designing end-to-end lakehouse solutions and stream analytics.
• IoT, data ingestion and stream analytics.

Skills

Team Leadership

Business Acumen

Stakeholder Engagement

Python

SQL

Azure or AWS

Tools

Databricks

Spark

Azure

AWS

Job description

Lead Databricks Consultant - Data Platform & Advanced Analytics

About the role

We are currently seeking a Lead Consultant - Data Platforms and Advanced Analytics to join our team, to lead and mentor a team around Architecting, Designing and Developing Modern Data Platforms that can enable Advanced Analytics and AI. This role involves travel and working from Geelong twice a week on-site to deliver customer requirements.

Responsibilities and Accountabilities

1. Mentoring and Leading a Team
2. Designing and Architecting Lakehouse/Datalake end to end solutions
3. IoT, data ingestion and stream analytics

Requirements and Experience

1. Expertise in Azure or AWS
2. Databricks or Spark
3. SQL
4. Python
5. Team Leadership experience
6. Strong business acumen and stakeholder engagement

Working Place:

Melbourne, VIC, Australia

Salary package :