Sr. Staff Data Architect

Roles and Responsibilities

Design and implement enterprise data architecture solutions.

Develop and maintain data models, including canonical data models, to standardize data across the organization.

Implement and manage Master Data Management (MDM) solutions to ensure data consistency and accuracy.

Develop and enforce data governance frameworks to ensure data quality, security, and compliance.

Ensure data quality by implementing best practices and tools for data validation, cleansing, and enrichment.

Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

Create conceptual and logical data models and flowcharts.

Provide technical expertise and guidance on data architecture best practices and emerging technologies.

Oversee the integration of data from various sources into a unified data architecture.

Ensure the scalability and performance of data architecture solutions to support growing data volumes and complexity.

Optimize resources to ensure cost-effective and efficient data architecture solutions.

Design and implement different data architectures, including data warehouses, data lakes, and real-time data processing systems.

Leverage AI capabilities to enhance data processing, analysis, and decision-making.

Collaborate with business, management, and data scientists to align data architecture with organizational goals.

Stay up to date with the latest trends and technologies in data architecture and AI and apply them to improve our data infrastructure.

Qualifications & Experiences

Advanced degree in Computer Science, Data Science, Engineering, or a related field

1 2 + years experience with data platforms, cloud services (e.g., AWS, Azure, Google Cloud), and big data technologies

Extensive experience with AWS services , Snowflake and its ecosystem

1 0 + years experience in data architecture, data modeling, and database design

Lead the design and implementation of data architecture from scratch at the enterprise level, ensuring scalability, reliability, and performance

Proficiency in data warehousing, ETL processes, data integration, and analytics tools

Experience in Media and Entertainment industry is preferred

Strong analytical and problem-solving skills.

Excellent verbal and written communication skills.

Ability to work effectively with cross-functional teams.

Skills Required

Data Science, Data Modelling, Computer Science, Azure, Google Cloud, Aws, Etl Process, Data Architecture