Data Architect

Summary:

We are seeking a highly skilled and visionary Data Architect to lead a team of engineers in building a robust next-generation data platform. The ideal candidate will possess deep technical and functional expertise in Big Data, Data Warehousing, and end-to-end real-time data movement. You will architect and build the Company's state-of-the-art digital platform while driving innovation in AI and advanced analytics.

Responsibilities:

• Perform all programming and provide oversight for architecture assessment and design for development assignments.
• Lead architecture design of end-to-end enterprise integrations serving multiple business functions.
• Design and implement end-to-end near real-time data movement solutions that provide core capabilities for the enterprise.
• Define the overall data architecture strategy aligned with business goals.
• Establish data governance policies, standards, and compliance.
• Maintain high standards of software quality within the team by establishing good practices and security guardrails per Enterprise standards.
• Develop and maintain current, planned, and future architecture blueprints.
• Work with business analysts, data engineers, and stakeholders to translate business requirements into technical data solutions.
• Communicate with end users and stakeholders to direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.
• Perform integrated testing and customer acceptance testing of components to ensure timely, quality results.

Requirements:

• Four-year bachelor&rsquos degree from an accredited college or university in Computer Science, Information Technology, or a related field.
• 12 years or more of software development experience or at least 3 years of architecture experience with strong demonstrable experience.
• 5 years or more of experience in designing conceptual, logical, and physical data models supporting scalability, performance, and integration needs.
• 5 years of Data Warehousing experience and optimizing database performance, indexing, and storage strategies.

Required Skills:

• Expert in implementing security measures for data at rest and in transit, and defining access control, encryption, and compliance frameworks.
• Strong in designing data integration solutions across systems ensuring smooth data flow between applications, APIs, and data warehouses.

Preferred Skills:

• Experience in designing, developing, deploying, and maintaining software at scale, with a good understanding of concurrency.
• Working experience in Python as an Object-Oriented programming language.
• In-depth understanding of how Data pipelines work in Big Data and expertise in designing architectures for cloud-based data platforms (AWS, Azure) for large-scale processing.
• Expertise in building Large Data Lakes and Data Warehouse (Snowflake Preferred).
• Expertise in building end-to-end near real-time data pipelines for OLTP & OLAP.
• Strong architecture exposure for building robust Data Platforms.
• Expertise in SQL and NO-SQL databases, Message brokers, and other AWS services such as Kafka/Kinesis, AWS SQS, AWS SNS, Lambda, API Gateway, DynamoDB, Aurora, AWS RDS PostgreSQL.
• Test-driven development and behavior-driven development.
• Ability to work under pressure and within time constraints.
• Passion for technology and an eagerness to contribute to a team-oriented environment.
• Demonstrated leadership on medium to large-scale projects impacting strategic priorities.
• Strong understanding of AI concepts and latest developments (Gen AI, MCP, ATA, etc.).

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