Senior Data Engineering Lead

We are seeking a highly skilled and experienced Senior Data Architect to join our team.

As a key member of the consulting team, you will work closely with senior stakeholders of our clients to design and implement data strategy in finance space. This includes multiple use cases such as controllership, FP&A, and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies.

You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Effective communication and organisation skills are essential for this position.

Aays is a fast growing analytics consulting firm that solves complex corporate finance problems faced by large and fast growing companies in the world using big data, cloud computing, and AI/ML.

We are an employee first company that believes happy employees can create happy customers, resulting in a successful business.

The role involves:

• Designing and driving end-to-end data and analytics solution architecture from concept to delivery
• Designing, developing, and supporting conceptual/logical/physical data models for analytics solutions
• Ensuring industry-accepted data architecture principles, standards, guidelines, and concepts are integrated with allied disciplines and coordinated roll-out and adoption strategies are in place
• Driving the design, sizing, setup, etc. of Azure environments and related services
• Providing mentoring on data architecture design and requirements to development and business teams
• Reviewing solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology
• Advising on new technology trends and possible adoption to maintain competitive advantage
• Participating in pre-sales activities and publishing thought leaderships
• Working closely with founders to drive technology strategy for the organisation
• Helping and leading technology team recruitments in various areas of data analytics

Requirements:

• Demonstrated experience delivering multiple data solutions
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies
• Demonstrated in-depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with the ability to configure and administer all aspects of SQL Server
• Demonstrated experience with different data models like normalised, de-normalized, stars, and snowflake models. Worked with transactional, temporal, time series, and structured and unstructured data
• Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience
• Deep understanding of operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux)
• Advanced study/knowledge in field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI)
• Familiar with principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps. Azure Automation)
• Strong technical background and evergreen with technology and industry development

This is an exciting opportunity for individuals who want to leverage their expertise to deliver innovative solutions.

We offer a dynamic and supportive work environment that encourages professional growth and collaboration.

This role requires strong technical expertise, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

Please submit your application if you meet the requirements and are excited about this challenge.