- Competent to perform all programming and provide oversight for architecture assessment and design for development assignments without close supervision; normally assigned the more complex aspects of systems work.

- Lead Architecture design of end-to-end enterprise integrations that serves 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 Drives application development focused around delivering business valuable features.

- Maintains high standards of software quality within the team by establishing good practices and security guardrails per Enterprise standards.

- Knowledge of target architecture; ability to develop the IT blueprint and roadmap while aligning the architecture and processes with business strategies and objectives.

- Develop and maintain current, planned, and future state architecture blueprints.

- Lead in the identification and analysis of enterprise business drivers and requirements that drive the future state architecture.

- Work with business analysts, data engineers, and stakeholders.

- Translate business requirements into technical data solutions.

- Communicate with end users and stake holders to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.

- Performs integrated testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results.

Basic qualifications :

- Four-year bachelors degree from an accredited college or university in a Computer Science or Information Technology, or 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 & data models support scalability, performance, and integration needs.

- 5+ years of Data Warehousing experience & optimizing database performance, indexing, and storage strategies.

- 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.

Top candidates will also have proven experience in many of the following :

- Designing, developing, deploying and maintaining software at scale, with 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 & expert in designing architectures for cloud-based data platforms (AWS, Azure) for large-scale processing.

- Expertise and experience 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.