Data Architect

Attention all accomplished Data Architects We invite you to embark on an extraordinary journey of transformation, where you will lead the charge in revolutionising Data & Information Solutions through the power of cutting-edge cloud methodologies. If you are an experienced and forward-thinking Data Architect, eager to modernise your approach, use the latest cloud methodologies and pave the way for innovation, this opportunity is tailor-made for you

We are currently seeking a dynamic and visionary Data Architect with a wealth of experience in Data & Information Solutions. It is advantageous that you have experience in a broad range of development technologies. Also having knowledge of the capabilities and limitations of developing on the various platforms, enabling them to make informed design decisions with regard to meeting business requirements.

As the appointed Data Architect, you will assume a critical role in conceiving, developing, and maintaining scalable data architecture solutions that cater to our clients' burgeoning data needs. Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.

We strive to ensure that our clients receive the most comprehensive and technologically appropriate solutions to assist them in their Digital Transformation journey. We strive to ensure that our solutions drive the future of innovation and digitisation. Embrace the opportunity to showcase your commitment to excellence as you join us on this pivotal expedition. Together, we will diligently shape a visionary data landscape that not only captivates the world but also unlocks a myriad of extraordinary possibilities.

Who Are We? Decision Inc. is a global digital partner that enables businesses to reinvent themselves to realise their full potential.

We deliver agility, resilience, and intelligence to any enterprise, enabling them to adapt quickly and thrive through innovation and opportunity. Our teams have engaged with more than 400 clients globally over the past 15 years, providing them with the expertise to build, operate, and optimise their digital businesses.

We achieve this by leveraging the world’s best technology to drive our client’s business ambitions forward into tomorrow's reality. These technologies include but are not limited to: Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights. Our success is ultimately driven by our entrepreneurial culture, industry exposure, and the passion of our people. We have three key cross-functional teams – Functional and Specialist Consulting, Development, and Engineering teams. Based in four global offices, our exceptional consultants focus on delivering value to clients by keeping them at the centre of our service delivery. To find out more about our exciting fast-paced culture

visit our webpage .

What Will You Do? Key Responsibilities:

Design and develop data models to support business requirements, ensuring data integrity, accuracy, and consistency.

Create and maintain logical and physical data models, defining data structures, relationships, and metadata.

Work closely with data engineers, business analysts, and other stakeholders to gather requirements and translate them into effective data solutions using Azure services.

Design and implement data warehousing solutions on Azure, leveraging Azure Synapse Analytics, Azure Data Factory, and other Azure data storage and processing services.

Develop data migration strategies and processes, ensuring data quality and consistency across platforms, utilizing Azure Data Migration Service and Azure Database Migration Service.

Evaluate and recommend Azure data storage and management technologies, considering performance, scalability, and cost-effectiveness.

Collaborate with data security teams to ensure compliance with data privacy and security policies, leveraging Azure security and compliance tools.

Optimize and tune Azure database systems for improved performance and reliability, using Azure Monitor, Azure Advisor, and other relevant tools.

Develop and maintain documentation, including data dictionaries, data flow diagrams, and data architecture guidelines for Azure-based solutions.

Provide guidance and support to data engineers and other team members in Azure data architecture best practices.

Who Do You Need to Be?

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

5+ years of experience in data architecture, data modeling, and database design, with a focus on Microsoft Azure.

Strong knowledge of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and Azure Cosmos DB.

Experience with data warehousing concepts and technologies, such as ETL, OLAP, and star schema, within the Azure ecosystem.

Proficiency in data modeling tools, such as ER/Studio, PowerDesigner, or ERwin.

Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics.

Experience with cloud-based data storage and processing solutions, particularly Azure.

Strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced, dynamic environment.

Excellent communication and collaboration skills, with the ability to work with stakeholders at all levels of the organization.

Knowledge of data security and privacy regulations, such as GDPR or POPIA, and experience implementing them within Azure solutions.

Good understanding of data warehousing and analytical methodologies and solution delivery

Strong problem solving skills

Excellent communication skills with the emphasis on relationship building, understanding business requirements, and management of business expectations

Ability to be proactive and accountable for your own deliverables

Ability to work within a team

Effective planning and organizational skills

Ability to work under pressure and be deadline driven

#J-18808-Ljbffr