
Senior Enterprise Data Architect
4 days ago
Key Responsibilities:
- To develop conceptual, logical, and physical data models aligned with business needs.
- To architect, implement, and optimize data warehouses, data marts, and data lakes for analytics and reporting.
- To provide architectural guidance on ETL/ELT design, data integration, and migration strategies.
- To ensure solutions adhere to data governance, security, and compliance best practices.
- To evaluate and recommend modern data technologies, platforms, and cloud services (Azure, AWS, GCP).
- To support performance optimization, scalability, and reliability of data solutions.
Requirements:
- Strong expertise in data modeling (conceptual, logical, physical) and data architecture frameworks.
- Proven experience in designing and delivering data warehouse solutions (e.g., Teradata, Oracle, Snowflake, Redshift, Azure Synapse, BigQuery).
- Hands-on experience with ETL/ELT tools (Informatica, Talend, Azure Data Factory, dbt, etc.).
- Strong understanding of SQL, database optimization, and query tuning.
- Exposure to cloud platforms (Azure/AWS/GCP) and their native data services.
- Experience in presales engagements – solutioning, client workshops, RFP/RFI response, and technical presentations.
- Familiarity with data governance, metadata management, and security best practices.
- Knowledge of Big Data ecosystems (Hadoop, Spark, Kafka).
- Experience in real-time data integration and streaming analytics.
- Exposure to machine learning and advanced analytics enablement.
- Certifications in cloud platforms (Azure Data Engineer/Architect, AWS Solutions Architect, GCP Data Engineer).
Benefits:
We offer a fast-growing digital transformation company with an AI-first approach.
High-visibility role with cross-functional exposure and accelerated growth opportunities.
Flexible work culture with a focus on outcomes.
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