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Practice Overview

Our Technology Consulting practice helps clients reimagine their technology and data landscape by designing and implementing modern, scalable and cloud-enabled solutions.

We are looking for professionals with Databricks and Data Engineering experience to support our growing Data & AI capabilities.

You will work with clients to modernize their data platforms, build scalable data pipelines and lakehouse solutions, enable enterprise analytics and AI use cases, and support their broader data transformation journey.

Key Responsibilities

As a Data & AI Consultant specialising in Databricks, you will work with multidisciplinary teams across business, data, cloud and technology to design and implement modern data solutions.

Your responsibilities may include:

Design, develop and implement scalable data solutions using the Databricks Lakehouse Platform.
Build and optimise ETL / ELT pipelines for large-scale data processing and transformation.
Develop data engineering solutions using Python, SQL, Apache Spark and/or PySpark.
Design and implement modern data lake, lakehouse and cloud data warehouse architectures.
Work with Delta Lake for reliable and scalable data storage and processing.
Support enterprise data governance, access management and data discovery using technologies such as Unity Catalog.
Integrate Databricks with cloud platforms such as Microsoft Azure, AWS or Google Cloud Platform.
Support organizations in modernising legacy data platforms and migrating data workloads to cloud-based architectures.
Design data models and transformation processes that enable analytics, reporting, machine learning and AI use cases.
Assess existing client data environments and recommend target-state architectures and transformation roadmaps.
Translate business and technical requirements into scalable data solutions.
Work with business stakeholders, architects, engineers and delivery teams throughout the solution lifecycle.
Participate in client workshops, technical discussions, solution design sessions and architecture reviews.
Identify and resolve complex data and technology challenges.
Contribute to proposals, solution development, proof-of-concepts and client presentations.
Support the development of reusable Data & AI assets, accelerators and best practices.
Where applicable, contribute to Machine Learning, Generative AI and AI-driven workloads running on Databricks.

Required Qualifications & Experience

We are looking for candidates with hands-on experience in one or more areas of modern Data Engineering and Data & AI transformation.

Core Technical Skills

Candidates should have experience with:

Databricks
Python
SQL
Apache Spark and/or PySpark
ETL / ELT and data pipeline development
Data modelling and transformation
Data Lake / Lakehouse architecture
Cloud-based data platforms

Databricks Experience

Relevant experience may include:

Development using the Databricks Lakehouse Platform
Building and managing Databricks data pipelines
Delta Lake
Unity Catalog
Databricks notebooks and workflows
Data governance and access management
Performance optimisation
Batch and/or streaming data processing
Integration of Databricks with enterprise data ecosystems

Experience with related cloud data services, data lakes, data warehouses and integration technologies is an advantage.

Education & Certifications

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or another relevant discipline.
Relevant Databricks certifications are an advantage.
Cloud certifications across Microsoft Azure, AWS or Google Cloud Platform are an advantage.
Certifications related to Data Engineering, Data Architecture or Data Management are also advantageous.

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Data & AI Consultant – Databricks