About the Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote
Work Arrangement: Fully Remote
Schedule: Midshift
At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.
Job Overview:
Leadership Development This role offers opportunities to enhance your technical leadership skills, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively involved in your technical domain.
Technology Focus & Growth Our primary focus is on Azure, providing numerous chances to develop your expertise within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client experiences. Just six months with our team can equate to years of experience elsewhere.
Partnerships & Opportunities Our strong global partnership with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms creatorsan advantage not commonly found elsewhere.
Compensation & Culture We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company fosters a positive working environment and culture, with flexible options for remote work.
Core Technical Skills Required:
Proven experience leading small to medium technical teams, including task delegation, technical escalation, support, and 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
Experience in developing data architectures supporting diverse data formats: structured, semi-structured, and unstructured data
Hands-on involvement in full lifecycle data warehouse projects
Knowledge of data architecture necessary for data integration processes
Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar
Familiarity with Microsoft Azure Data Platform services like Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs
Demonstrated ability to quickly learn, adapt, and apply new technologies
Experience in data profiling and mapping source-to-target data transformations
Ability to provision and configure Azure data services
Detailed Technical Skills:
Python and SQL scripting
SQL and PySpark
General cloud architecture skillscapable of translating requirements into data pipeline solutions
API development knowledge; candidates with API creation skills are preferred
Preferred Skills, Experience, & Certifications:
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory
Experience designing migration strategies from on-premise environments to Azure
Power BI and semantic data modeling
AWS Glue and Azure Data Factory
AWS S3 and Azure Blob Storage
AWS Athena and Azure Databricks
AWS Redshift and Azure Synapse Analytics
AWS ECS and Azure AKS
