Information Technology - Architect

JD for Architect:

JD::

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 behaviour 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.).