Azure Data Solutions Architect

Are you an Azure Data Solutions Architect with expertise in Data Engineering and a knack for translating complex data needs into actionable solutions? Join our esteemed team at INGRITY, where your skills will play a crucial role in serving our clients effectively
Location: Sydney.
Employment Type: Full-Time.
Eligibility: Open to candidates with full working rights in Australia
About INGRITY:
INGRITY is a Microsoft Data and AI Solution Partner dedicated to delivering transformative data and AI-driven solutions. We collaborate with some of the best ASX-listed companies and medium-sized businesses, working closely with Microsoft to create measurable value for our customers. Our success is built on innovation, customer advocacy, and a strategic partnership with Microsoft
About the job:
We are seeking an Azure Data Solutions Architect with strong expertise in data engineering to join our team. You will have a unique opportunity to collaborate closely with our prestigious clients and contribute to their success
Your Responsibilities:

• Collaborate with clients and stakeholders to gather requirements and define project objectives.
• Build trusted advisor relationships across client stakeholders by understanding their needs and technologies.
• Design end-to-end data solutions on the Azure platform, covering data ingestion, storage, processing, and analytics.
• Develop architecture diagrams, technical documentation, and implementation plans.
• Design and architect data solutions on Azure using services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure SQL Database.
• Optimize data solutions for performance, scalability, and cost-effectiveness.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Oversee the entire data delivery process for new projects, including change management, requirements gathering, development, testing, and migration to production.
• Design, develop, implement, and maintain scalable data pipelines and ETL processes using Azure Data Factory (ADF) and Synapse. Manage metadata ingestion processes in ADF.
• Implement and deploy Azure-based data solutions across the Microsoft platform, leveraging ADF.
• Support data governance activities and advocate for best practices within data warehousing.
• Set up and maintain CI/CD pipelines to support the data warehouse, ensuring efficient and automated deployment processes.
• Use active listening and insightful questioning to understand customer requirements, challenges, business context, and motivations.
• Demonstrate proficiency in Well-Architected Framework/Cloud Adoption Framework (WAF/CAF) and extensive technical expertise in managing cloud and hybrid infrastructures at an enterprise scale, covering architecture design, migration strategies, and technology governance.

Your Technical Skills and Experience:

• With over 5 years of proven expertise as a Data Solutions Architect in the data domain, including extensive experience in data engineering and a specialized focus on Azure technologies.
• In-depth expertise in Azure services relevant to data engineering and analytics, such as Azure Databricks, Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, and Azure Data Factory.
• Proficiency in programming languages such as Python, SQL, and optionally R, Scala, and Java for data manipulation, analysis, modelling, and integration.
• Understanding of data modelling concepts and experience designing efficient data models for analytics and reporting. Proficiency in developing ETL/ELT workflows using tools like Azure Data Factory and Databricks.
• Knowledge of data integration patterns and techniques for ingesting data from various sources into the Azure ecosystem. Experience with data ingestion tools, data formats (e.g., CSV, JSON, Parquet), and data connectors.
• Experience in developing CI/CD pipelines and change management. Understanding of branching strategies, pull requests, and code reviews.
• Knowledge of Azure security best practices, data encryption, identity and access management (IAM), and data governance.
• Skills in monitoring Azure services and Databricks clusters for performance, resource utilization, and cost optimization using tools like Azure Monitor, Azure Log Analytics, and Databricks monitoring.
• Deep understanding of analytics' business-driving capabilities and championing a culture of data-driven decision-making.
• Attention to detail, ability to identify gaps in information, manipulate complex datasets, and exhibit strong data cleaning skills.
• Highly motivated with excellent time management skills, capable of working independently.

If you are a talented Azure Solutions Architect excited about contributing to our data-driven success, please submit your resume. Highlight your relevant experience and achievements.
About INGRITY:

We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.

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