Lead Data Architect

Data Strategy & Enterprise Architecture:

• Define and implement a scalable, enterprise-wide data architecture aligned with business and technology goals.
• Develop a data strategy roadmap, ensuring long-term sustainability, scalability, and efficiency.
• Partner with executive leadership, product teams, and engineering to ensure data initiatives drive business value.

Technical Leadership & Innovation:

• Oversee the design and evolution of data lakes, data warehouses, and cloud-based analytics platforms using Databricks, Snowflake, BigQuery, or Redshift.
• Lead the adoption of modern data architecture patterns, including event-driven architectures, real-time data streaming (Kafka, Pulsar), and AI-driven analytics.
• Provide guidance on database optimization, indexing, partitioning, and storage strategies for tools like PostgreSQL, MySQL, and NoSQL solutions like MongoDB or Cassandra.

Data Engineering & Integration:

• Direct ETL/ELT strategies, ensuring seamless data flow across systems with Python, Apache Airflow, dbt, or Informatica.
• Architect cloud-based solutions (AWS, Azure, or GCP) using services such as AWS Glue, Azure Synapse, and Google Cloud Dataflow to support analytics, AI, and operational use cases.
• Ensure API-first design for data integration using GraphQL, RESTful APIs, or event-driven architectures (Kafka, AWS Kinesis, Pub/Sub).