Lead Consultant, Data Architecture – Engineering
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Job Description
Lead consultant designing Azure data architectures, data warehouses, and pipelines. Providing technical leadership and engineering solutions for clients in the Philippines.
Responsibilities:
- Provide technical leadership for small to medium sized technical teams
- Allocate and distribute work among team members
- Handle technical escalations and support
- Represent the team in Agile ceremonies and client meetings
- Make technical decisions and guide and mentor junior team members
- Develop relationships with project, client, and company leadership while remaining hands-on
- Design and implement logical and physical data models for cloud and hybrid data warehouse environments
- Implement data architectures supporting structured, semi-structured, and unstructured data
- Deliver full life-cycle data warehouse implementations
- Design data architectures supporting data integration processing
- Perform data profiling and create source-to-target mappings
- Provision and configure Azure data service resources
- Build data pipelines from requirements
- Work with APIs and potentially create APIs
- Develop strategies to migrate customers from on-premise environments to Azure
Requirements:
- Experience leading small to medium sized technical teams, including work allocation/distribution, technical escalation and 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 implementing data architectures supporting 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, and 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 and SQL scripting
- SQL and PySpark
- General cloud architecture competency; capable of taking requirements and building data pipelines
- API knowledge required; preference for candidates who can create APIs
- Microsoft Fabric
- Microsoft Azure Cosmos DB, Data Flows, Express Route, and Azure Active Directory
- Experience creating strategies to migrate customers from on-premise environments to Azure
- Power BI and semantic modeling
- AWS Glue and Azure Data Factory
- AWS S3 and Azure Blob
- AWS Athena and Azure Databricks
- AWS Redshift and Azure Synapse
- AWS ECS and Azure AKS
Benefits:
- Competitive compensation package
- Allowance
- Standard benefits
- Quarterly performance-based cash bonus
- Annual performance-based cash bonus
- Other remuneration
- Flexible work location
- Remote work setup
- Midshift schedule
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