Sr. Tech Lead - Data Modeling Job

Must Have:
- 8-10 years of Senior data modelling resource who interfacing with business directly
- Drive the calls by asking the right questions to the business.
- Hands on Modelling experience
- Dim/Fact Modelling experience
- Strong communication skills

Good to Have:
- Data Vault Modeling

Roles and Responsibilities:

- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads.
- Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business.
- Ensure the consistency, availability, understanding, and performance of data by following and improving best practices and standards for data modeling.

Domain/ Industry Knowledge:

• Working knowledge of customers business processes and relevant technology platform or product.
• Able to analyze current-state and define to-be processes in collaboration with SME and present recommendations with tangible benefits.

Requirement Gathering and Analysis:

• Specialized knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
• Extract requirements for complex scenarios and prototype independently.
• Identify modules impacted, features/functionalities impacted and arrive at high level estimates.
• Develop traceability matrix and identify transition requirements.

Product/ Technology Knowledge:

• Implement code or configure/customize products, drive adoption of industry standards and practices, and contribute to development of reusable assets and innovative solutions.
• Conduct technical sessions and knowledge sharing sessions, and work on complex modules independently.
• Analyze various frameworks/tools and present recommendations, contribute to development of training and certification material, and demonstrate thought leadership through whitepapers and webinars.

Architecture tools and frameworks:

• Specialized knowledge of architecture Industry tools & frameworks.
• Implement tools & framework in a complex scenario.
• Conduct tools & framework customization & tailoring workshop.

Architecture concepts and principles:

• Specialized knowledge of architectural elements, SDLC, methodologies & customer business/domain.
• Establish Architectural principles/ patterns and use advanced tools to capture and analyze system/ technical issues.

Analytics Solution Design:

• In Depth knowledge of statistical & machine learning techniques.
• Able to design analytical modelling approach for moderate-scale projects or for components of large-scale.
• Understand business requirements & constraints including potential trade-offs between speed & accuracy, maintains trends.

Tools & Platform Knowledge:

• Familiarity with the wide range of data science/analytics commercial and open source software tools, their constraints, advantages, disadvantages, areas of application and mainstream packages relevant to technical stages of data science/analytics projects.
• Intermediate to advanced skills in programming languages used for data science/analytics and ability to apply these for data acquisition, pre-processing, modelling and model deployment. Ability to interpret and modify existing scripts and conduct quality checks.

Accountability:

• Takes responsibility for and ensures accuracy of results and deadlines of the function and/or team and in completing own work.

Collaboration:

• Reaches out to others in team to ensure connections are made and team members are working together.
• Looks for ways to integrate work with other teams, identifying similarities and opportunities, making necessary changes in work to ensure successful integration.

Agility:

• Demonstrates openness to the possibilities that change presents and begins to plan for how role may change.
• Works with others to prepare for change.

Customer Focus:

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

Communication:

• Communicates well-organized ideas, information, and data to broad and diverse audiences across the Organization (through formal and informal presentations).
• Helps others identify their appropriate audience.

Drives Results:

• Sets realistic stretch goals for self & others and perseveres to follow through with resilience and remains calm in a crisis or stressful situation to exceed organization/client expectation.

Resolves Conflict:

• Identifies and understands the source of conflict, addresses, and overcomes.