Job Description

About the Role

n

Join a dynamic team delivering enterprise AI and cloud transformation with Databricksas a strategic focus. You will play a key role in shaping innovative data engineeringsolutions, working closely with clients to remove technical blockers and accelerateadoption of best practices across big data platforms.

n

The organisation is growing fast, in a scale-up phase with significant opportunities forgrowth and significant exposure to the Databricks team. If Databricks is a passion foryou, this is an organisation that will have you working alongside some of the mostexperienced and strongest technical professionals in the space.

n

Why This Role is Unique

n

n
- Senior-level role, working with enterprise level customers on large scaleprojects.
n
- Be part of a hands-on, deeply technical team recognized for transformativeimpact on clients data architecture and AI transformation journeys.
n
- Engage with rapidly evolving GenAI technologies, modern data practices, andcloud-native architectures that push the boundaries of what's possible.
n
- Supported by transparent leadership and a culture focused on mentorship,continuous learning, and technical excellence.
n
- Enjoy work-life balance through flexible arrangements while contributing toprojects delivering real business outcomes globally.
n

n

Your Impact and Responsibilities

n

n
- Lead and contribute hands-on to projects using Databricks, Apache Spark,and related big data tools to build scalable, high-performing pipelines andplatforms.
n
- Collaborate with diverse teams to design and implement data architecturesthat simplify complex business problems.
n




- Drive adoption of modern CI/CD, MLOps, and DevOps pipelines, ensuringautomation and quality at scale.
n
- Advise customers on strategic technical decisions, challenge assumptions,and guide teams in overcoming roadblocks.
n
- Mentor peers and foster a culture of knowledge sharing to maintain a reputation for technical excellence.
n
- Work across cloud platforms integrating Databricks with Hadoop, Flink,Presto, Redshift, and others.
n

n

Required Experience & Qualifications

n

n
- 5+ years of experience in consulting.
n
- Completed Data Engineering Professional certification.
n
- Minimum 6-8+ projects delivered with hands-on experience indevelopment on databricks.
n
- Current knowledge across the breadth of Databricks product and platform.
n
- Expertise with cloud data architectures.
n

n

Preferred Skills

n

n
- Experience with BigQuery, Synapse, Redshift, Hadoop, Flink, Presto.
n
- Knowledge of modern CI/CD, automation, MLOps, and DevOps bestpractices.
n
- Strong interpersonal skills with an ability to challenge and lead technicalstrategy.
n
- Passion for educating others and evangelizing technical best practices.
n

n

What You'll Gain

n

n
- First class exposure to the Databricks team.
n
- Work across genuine enterprise level projects.
n
- Exposure to some of the most advanced AI and data engineering projectsshaping enterprise capabilities.
n
- A collaborative, mentor-rich environment focused on qualified growth andtransparent leadership.
n
- Flexible working options, competitive remuneration, and a culture that valuestechnical contribution and innovation.
n

#J-18808-Ljbffr

📌 Databricks Solution Architect (New South Wales)
🏢 NTP Talent
📍 New South Wales