Lead Consultant Data Architecture & Engineering (GDC) | WFH
TASQ is seeking a Lead Consultant Data Architecture & Engineering (GDC) to work remotely from 5pm to 2am Philippine Time. Due to logistical considerations, only applicants based in the Philippines will be considered for the role. --- About the Position: Lead Consultant, Data Architecture & Engineering (GDC) | REMOTE*** Key Highlights:** - Leadership Development: This role offers opportunities to expand your expertise in technical leadership, including making technical decisions, mentoring junior team members, and building relationships with project, client, and executive leaders, all while remaining hands-on in your technical domain.- Azure-Focused Technology: Our primary focus is on Microsoft Azure. You'll have numerous chances to develop your skills within the Azure ecosystem, working in a company dedicated to technical excellence and delivering exceptional client experiences in a specialized area. Six months with us can equate to years of experience elsewhere. - Partnership with Microsoft:** Our strong global relationship with Microsoft provides access to innovative Azure projects and direct collaboration with the teams that developed the platforman exclusive advantage. - Competitive Compensation: We offer a competitive salary package, allowances, standard benefits, plus quarterly and annual performance-based bonuses, and other incentives. - Flexible Work Environment: Enjoy a positive company culture with flexible remote working options. Core Technical Skills Needed:** - Proven experience leading small to medium technical teams, including task assignment, handling escalations, supporting team members, and representing the team during Agile ceremonies and client meetings. - Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments. - Experience creating data architectures that support various data formats: structured, semi-structured, and unstructured.- Extensive experience across full data warehouse project lifecycles. - Strong understanding of data architecture to facilitate data integration. - Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar. - Hands-on experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs. - Demonstrated ability to quickly learn and apply new technologies.- Skills in data profiling and developing source-to-target mappings. - Capable of provisioning and configuring Azure data services. Detailed Skill Requirements:** - Scripting in Python and SQL. - Experience with SQL and PySpark. - Solid understanding of cloud architecture designing and building data pipelines from requirements. - API knowledge, with a preference for candidates capable of creating APIs. Preferred Experience, Skills, and Certifications:** - Microsoft Fabric. - Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory - Experience planning and executing migration strategies from on-premises environments to Azure. - Power BI and semantic data modeling. - Experience with AWS Glue, Azure Data Factory, AWS S3, and Azure Blob Storage. - Familiarity with AWS Athena, Azure Databricks, AWS Redshift, and Azure Synapse. - Knowledge of AWS ECS and Azure AKS.
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