Role Overview :

This pivotal role seeks an accomplished Data Architect to spearhead the design, development, and optimization of our enterprise data platforms. You will be instrumental in translating complex business requirements into robust, scalable, and secure data architecture solutions, ensuring our data infrastructure supports advanced analytics, machine learning initiatives, and critical business operations.

Working closely with Data Engineers, Data Scientists, Product Managers, and various business stakeholders, you will define data strategies, establish governance frameworks, and drive the adoption of best practices. Your contributions will directly impact our ability to derive actionable insights, enhance customer experiences, and accelerate data-driven decision-making across the organization, ultimately fueling innovation and business growth.

Key Responsibilities :

- Define and evolve the enterprise data architecture roadmap, encompassing data warehousing, data lakes, and streaming solutions, to align with strategic business objectives and future growth.

- Lead the design and implementation of highly scalable, resilient, and cost-effective data pipelines and platforms using AWS services, PySpark, and Python, ensuring optimal performance and data integrity for analytical and operational needs.

- Establish and enforce comprehensive data governance policies, standards, and best practices for data quality, metadata management, security, and compliance, safeguarding our data assets.

- Collaborate extensively with cross-functional teams, including Data Engineers, Data Scientists, and business units, to understand data requirements, provide expert technical guidance, and champion data architecture principles.

- Evaluate and integrate emerging data technologies and methodologies, continuously optimizing existing data infrastructure and processes to enhance efficiency, scalability, and reliability across our data ecosystem.

Required Skillset :

- Possesses 8 -12 years of progressive experience in data architecture, data engineering, or related roles, with a proven track record of designing and implementing large-scale data solutions.

- Demonstrates deep expertise in building and managing data platforms on AWS, leveraging services such as S3, Redshift, Athena, Glue, Kinesis, and Lambda.

- Exhibits strong proficiency in developing complex data processing applications using Python and PySpark, alongside a solid command of Java for enterprise-level data integration and application development.

- Proven ability to translate intricate business challenges into well-architected, scalable, and secure data solutions, showcasing strong data modeling, ETL/ELT, and data warehousing capabilities.

- Exceptional analytical and problem-solving skills, with a history of successfully navigating and resolving complex data infrastructure challenges.

- Excellent verbal and written communication skills, adept at articulating sophisticated technical concepts to diverse audiences and influencing strategic technical decisions within a collaborative environment.

- Holds a Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative discipline from a premier institution.