Lead Consultant - Data Architecture & Engineering

Job Highlights

• Leadership Opportunities – This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership – all while remaining hands-on in your areas of expertise.
• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
• Great working environment and company culture with flexible work location.

General Required Technical Skills:

• Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
• Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
• Experience with multiple full life-cycle data warehouse implementations
• Understanding of data architectures required to support data integration processing
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar
• Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
• Demonstrated ability to quickly learn, adopt and apply new technologies
• Data profiling and creation of source to target mappings
• Ability to provision and configure Azure data service resources

Detailed Required Skills:

• Python & SQL Scripting
• SQL, PySpark
• General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines
• API Knowledge is required, but preference given to candidates who can create