Job Description
About the Role
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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.
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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.
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Why This Role is Unique
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Senior-level role, working with enterprise level customers on large scaleprojects.
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Be part of a hands-on, deeply technical team recognized for
transformativeimpact
on clients data architecture and AI transformation journeys.
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Engage with rapidly evolving GenAI technologies, modern data practices, andcloud-native architectures that push the boundaries of what's possible.
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Supported by transparent leadership and a culture focused on
mentorship,continuous
learning, and technical excellence.
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Enjoy work-life balance through flexible arrangements while contributing toprojects delivering real business outcomes globally.
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Your Impact and Responsibilities
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Lead and contribute hands-on to projects using Databricks, Apache Spark,and related big data tools to build scalable, high-performing pipelines andplatforms.
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Collaborate with diverse teams to design and implement data architecturesthat simplify complex business problems.
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Drive adoption of modern CI/CD, MLOps, and DevOps pipelines, ensuringautomation and quality at scale.
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Advise customers on strategic technical decisions, challenge assumptions,and guide teams in overcoming roadblocks.
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Mentor peers and foster a culture of knowledge sharing to maintain a reputation for technical excellence.
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Work across cloud platforms integrating Databricks with Hadoop, Flink,Presto, Redshift, and others.
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Required Experience & Qualifications
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5+ years of experience in consulting.
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Completed Data Engineering Professional certification.
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Minimum 6-8+ projects delivered with hands-on experience indevelopment on databricks.
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Current knowledge across the breadth of Databricks product and platform.
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Expertise with cloud data architectures.
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Preferred Skills
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Experience with BigQuery, Synapse, Redshift, Hadoop, Flink, Presto.
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Knowledge of modern CI/CD, automation, MLOps, and DevOps bestpractices.
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Robust interpersonal skills with an ability to challenge and lead technicalstrategy.
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Passion for educating others and evangelizing technical best practices.
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What You'll Gain
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First class exposure to the Databricks team.
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Work across genuine enterprise level projects.
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Exposure to some of the most advanced AI and data engineering projectsshaping enterprise capabilities.
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A collaborative, mentor-rich environment focused on professional growth andtransparent leadership.
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Flexible working options, competitive remuneration, and a culture that valuestechnical contribution and innovation.
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#J-*****-Ljbffr

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