Data Architect Lead for Large-Scale Data Initiatives
5 days ago
At Dhira, we are seeking a seasoned Data Architect Lead to drive the design and implementation of large-scale data architectures.
We are looking for an expert with 15+ years of experience in data architecture, who has a comprehensive understanding of modern database systems, including relational, NoSQL, Graph, and Vector databases.
The ideal candidate will bring both historical context and cutting-edge expertise to architect scalable, high-performance data solutions, driving innovation while maintaining strong governance and best practices.
This leadership role demands a balance of technical excellence, strategic vision, and team mentorship, with the ability to lead large-scale data initiatives, balancing technical depth and strategic alignment.
Data Modeling Expertise:
- Design and implement Entity-Relationship Models (ER Models) for OLTP systems, ensuring normalization and consistency.
- Transition ER models into OLAP environments with robust dimensional modeling, including star and snowflake schemas.
- Develop hybrid data models that integrate relational, NoSQL, Graph, and Vector Database schemas.
- Establish standards for schema design across diverse database systems, focusing on scalability and query performance.
Database Architecture Evolution:
- Architect solutions across the database spectrum-
- Relational databases (PostgreSQL, Oracle, MySQL)
- NoSQL databases (MongoDB, Cassandra, DynamoDB)
- Graph databases (Neo4j, Amazon Neptune
- Vector databases (Pinecone, Weaviate, Milvus).
- Implement hybrid data architectures combining OLTP, OLAP, NoSQL, Graph, and Vector systems for diverse business needs.
- Ensure compatibility and performance optimization across these systems for real-time and batch processing.
Estimated Salary: $170,000 - $200,000 per annum, depending on experience and location. This is a competitive salary for a senior-level data architect position in the industry.
Key Responsibilities:
- Lead the development of enterprise-scale Data Warehouses capable of supporting advanced analytics and business intelligence.
- Design high-performance ETL/ELT pipelines to handle structured and unstructured data with minimal latency.
- Optimize OLAP systems for petabyte-scale data storage and low-latency querying.
PREFERRED SKILLS:
- Experience integrating Vector Databases into existing architectures for AI/ML workloads.
- Knowledge of real-time streaming systems (Kafka, Pulsar) and their integration with modern databases.
- Certifications in data-related technologies (e.g., AWS, GCP, Snowflake, Neo4j).
About Dhira: Dhira is a leading company in the data and analytics space, with a strong focus on innovation and customer satisfaction. We offer a dynamic and collaborative work environment, with opportunities for growth and professional development.
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