Data Architect

About the Company

Arcolab is a Global Capability Centre designed to provide a wide range of specialized capabilities across diverse business functions. With a strong focus on customer centricity and delivering excellence, Arcolab positions itself as a Centre of Excellence within the pharmaceutical sector. By driving customer-first strategies and developing niche expertise, Arcolab supports its clients in addressing complex business needs across multiple areas. Our organization is at the forefront of innovation, driving value across the entirety of the customers digital and AI transformation journey through repeatable and customized cutting-edge solutions powered by Microsoft Azure suite and AI.

About the Role

The Data and Analytics function is hiring for a Lead Data Architect with about 12+ years of experience, who will be responsible for translating the client's business requirements into an optimal architecture designed to address client business problems.

Responsibilities

• Gather customer/partner insights from a broad range of stakeholders.
• Define and document the architecture to communicate the value proposition of the business solution.
• Drive project/technical governance of the design, build, and deployment.
• Work with business sponsors and customer/partner stakeholders to gather and ratify requirements and constraints.
• Responsible for dimensional modelling, best practices, and development of data accelerators.

Required Skills

• About 12+ years of experience in relevant fields.
• Experience with cloud platforms, such as Azure.
• Knowledge on big data developments and technology architectures.
• Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
• Experience in moving data from on-premises data platforms to cloud and designing cloud native data warehouse platform.
• Experience working with transactional, temporal, time series, and structured and unstructured data.
• Big Data and Data Warehouses including Azure Data Lake, Azure Data Explorer, Azure Data factory, Pyspark, SQL and some experience in Fabric.
• Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau).
• Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks).
• Experience with cloud infrastructure, storage optimization and query optimizations.
• Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.
• Proficiency in data modeling and design, including SQL development and database administration.
• Experience with cloud platforms, such as Azure, to manage and integrate data systems.
• Knowledge of big data developments and technology architectures.
• Familiarity with data security measures and compliance regulations.
• Ability to design and model database, data warehouse, and data flow infrastructures.
• Understanding of data integration and the tools to manage data flow.
• Excellent communication and collaboration skills.