Senior Manager Data Engineer at Squarcle delivering technical leadership in data engineering and compliance with business objectives. Leading teams to optimize and develop data platforms for clients.
About the role
- Senior Director Data Engineer at Dentsu designing and scaling data infrastructure for global clients using AI-driven insights.
Responsibilities
- Build, scale, and maintain robust data pipelines/models using DBT, Python, PySpark, Databricks, and SQL
- Design and manage semantic models, star schemas, ontologies, taxonomies, knowledge graphs, and glossaries using DBT YAML, GitHub, Unity Catalog, Fabric/OneLake, and Power BI
- Utilize low-code/no-code tools (Trifacta, DBT, Power BI, Tableau, Fabric/OneLake, Copilot Studio)
- Own AI deployment pipelines with containerized agents and automation using Kubernetes, n8n, LangChain, Azure AI Foundry
- Strengthen AI accuracy/governance via metadata, access controls, and grounding
- Design modular, reusable data models for analytics, reporting, AI enablement, and agentic apps
- Develop and monitor mapping tables, validation rules, lineage, error logging, and observability for ETL/ELT health
- Collaborate with analysts, engineers, and stakeholders to transform raw data into governed datasets
- Implement agentic AI and Copilot integrations to enhance data accessibility
- Drive innovation in Data Quality Suite roadmap.
- Contribute to medallion architecture (bronze/silver/gold) and best practices for reusable components.
- Manage Databricks Unity Catalog, Workflows, SQL Analytics, Notebooks, and Jobs for governed analytics.
- Develop pipelines/tools with Microsoft Fabric, Power BI, Power Apps, Azure Data Lake/Blob, and Copilot Studio.
Requirements
- 8+ years of experience as a Data Engineer or in a similar role
- Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field required
- Advanced expertise in SQL, Python, DBT
- Strong experience with PySpark, Databricks, and semantic layer tools like DBT YAML, Unity Catalog, and knowledge graphs required
- Hands-on experience with ETL/ELT design tools like Trifacta (Alteryx), Adverity, Azure Data Factory, Fabric/Power BI DAX, or similar
- Proven experience building and extending semantic layers for AI applications
- Deep experience in the Microsoft Tech Data Stack, including Power BI, Power Apps, Fabric/OneLake, Azure Data Lakes (ADLS Gen2), Azure Blob Storage
- Experience with AI deployment and orchestration tools such as Kubernetes, n8n, LangChain
- Strong experience in developing and managing API endpoints
- Proficiency in Java or Scala for large-scale data processing
- Experience supporting data observability, quality frameworks
- Strong familiarity with Git-based development.
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Flexible paid time off
- At least 15 paid holidays per year
- Paid sick and safe leave
- Paid parental leave
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