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Data Solution Architect

Capgemini -
Newcastle NSW

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Job Details

Qualifications

CI/CD
Data modelling
Azure
Azure Data Lake
Sales
SAS
AWS Certification
Microsoft SQL Server
Google Cloud Platform
AWS
Analysis skills
Docker
DNS
Data pipeline
Redshift
SaaS
AI
Communication skills
Data warehouse
IaaS

Full Job Description

Who You Will Be Working With

The Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.

We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.

The Focus Of The Role

As a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.

What You Will Be Doing

We are looking for strong Data and Solution Architects who are passionate and focused on data solutions and who ideally have skills in many of the following areas:

Lead the design and implementation of cloud-native data platforms.
Architect and deliver data modernisation strategies, transitioning legacy systems to scalable, cloud-native solutions.
Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads.
Partner with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costing
Owns Solution Development as liaison between Sales and Delivery teams. Serve as technical liaison between Sales team, Clients, Delivery & support teams up to and including Contract negotiations
Have experience of designing architecture for data focused cloud projects, cooperate with sales team to formulate / execute a sales strategy to exceed revenue objectives
Knowledge of automation tooling to facilitate CI/CD approaches to IaC
Knowledge of IaaS implementation, Availability sets, Networking concepts, Express Route, DNS, Load Balancing
Strong skills in areas such as Docker, Kubernetes, IaaS, PaaS, SaaS to name a few

Your Experience and Skills

Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing cloud data solutions
Proven expertise in data platforms with a strong understanding of data warehousing concepts and practices.
Excellent problem-solving and analytical skills and strong communication and teamwork skills.
Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices
Relevant Architecture certifications from leading cloud platform providers
Ideally a background in Public Sector or other regulated industries

In addition to these core skills, you should have specialist experience in 2 or more of the following technologies:

Azure

Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake & Fabric. Understand which Azure data focused components to use for which purpose.
Microsoft certified architect

Databricks

Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
Be a Databricks champion or have some Databricks certifications

AWS

Work hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and more
Strong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker).
AWS Certified Architect

Additional Info

Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

What we’ll offer you

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.

Why We're Different

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.

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Refine Your Search

data solutions architect azure analytics jobs

Data Solution Architect

Lead Data and Analytics (Perth or Kwinana)

Program Architect

Finance Systems Developer

SAP Analytics Lead

Azure Cloud Platform Engineer

Specialist Solutions Architect

Senior Data Technical Lead

Migrations Solutions Architect, Sales

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

Senior Solutions Engineer (Presales) - Enterprise Customers

Enterprise Test Automation Architect

Senior Data Engineer

Data Architect / Engineer

AI/ML Architect

ETL Developer

Data Engineer Analyst (Fabric, Power BI)

Data Engineer Consultant (Fabric, Power BI)

Team Lead - Quality Engineering

Principal Data Engineer - Contract

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