Technical Architect

Job Description

Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems. Collaborate with business analysts and data engineers to understand data requirements. Ensure models support data governance , data quality , and data integration  standards. Maintain and update data models as business needs evolve. Create and manage metadata repositories  and data dictionaries . Optimize data models for performance , scalability , and security . Work with database administrators to implement models in relational and NoSQL databases. Support ETL processes  and data warehousing  initiatives. Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere). Strong understanding of relational databases , dimensional modeling , and normalization techniques . Experience with SQL , data warehousing , and ETL tools . Familiarity with cloud platforms (e.g., AWS, Azure) is a plus. Excellent communication and documentation skills.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product. Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies. Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications. Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation. Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

Working knowledge of architecture Industry tools & frameworks. Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

Working knowledge of architectural elements, SDLC, methodologies. Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees. Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

Displays sensitivity in interactions and strives to understand others’ views and concerns.

Certifications

Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

---