Lead Consultant - Data Architecture & Engineering

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.

Responsibilities

Technical decision-making; Guidance and mentorship of more junior team members; Developing relationships with project, client, and company leadership; Remaining hands-on in areas of expertise; Work allocation/distribution to team members; Technical escalation and support; Representing the team in Agile ceremonies and client meetings

Requirements

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; Python & SQL Scripting; SQL, PySpark; General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines; API Knowledge

Nice to have

Microsoft Fabric; Microsoft Azure Cosmos DB; Data Flows; Express Route; Azure Active Directory; Experience creating strategies to migrate customers from on-premise environments to Azure; Power BI and semantic modeling; AWS Glue & Azure Data Factory; AWS S3 & Azure Blob; AWS Athena & Azure Databricks; AWS Redshift & Azure Synapse; AWS ECS & Azure AKS; API creation

Benefits

Competitive compensation package; salary; allowance; standard benefits; quarterly and annual performance-based cash bonus; other remuneration; great working environment and company culture; flexible work location