Senior Data Architect
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Job Description
Senior Data Architect responsible for designing enterprise data architecture supporting analytics and operational reporting. Leading complex data initiatives with a hands-on approach in a remote setting.
Responsibilities:
- Design and maintain enterprise data architecture including data models, integration patterns, and platform standards
- Lead architecture for complex data initiatives involving data lakes, data warehouses, streaming platforms, and analytics ecosystems
- Define, document, and enforce data architecture standards, best practices, and reference architectures
- Partner with Data Engineering, BI, AI/ML, and Product teams to translate business requirements into analytics solutions
- Perform deep-dive data analysis, troubleshoot data quality and pipeline issues
- Ensure security, privacy, and governance requirements are embedded in design
- Lead conceptual, logical, and physical data modeling
- Provide technical leadership and mentorship to architects and engineers
- Support continuous improvement initiatives including performance optimization, cost efficiency, and data quality enhancements
Requirements:
- Hands-on proficiency with Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Pipelines, Power BI)
- strong SQL skills and advanced conceptual, logical, and physical data modeling expertise
- Experience with dbt (Cloud or Core), data warehousing, data lakes, modern ELT/ETL frameworks
- troubleshooting complex data issues including root‑cause analysis, debugging, and data quality resolution
- Familiarity with Snowflake, Databricks, BigQuery, or Synapse
- proficiency with data integration/orchestration tools such as ADF, Fabric Pipelines, or Airflow
- Solid knowledge of data governance, privacy, lineage, access controls, compliance
- Strong leadership, including the ability to mentor teams
- Excellent communication, facilitation, and presentation skills
- Highly organized, with strong multi‑tasking and analytical skills
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
- 6–8+ years in data engineering, data architecture, or analytics platform roles
Benefits:
- career development resources
- wellbeing programs
- innovation practices
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