Data Architect

Location: Hyderabad

Work Mode: Work from office

Job Summary

• We are looking for a Business Data and Analytics Architect to join our Business Intelligence and Analytics team within the Corporate Strategy organization.
• This role requires a blend of technical expertise, strategic vision, and practical implementation skills, as you will be pivotal in driving data-informed decision-making throughout the organization.
• Your responsibilities will include designing and implementing a business-centric data and reporting framework that provides executives, analysts, and operational teams with accurate, timely, and actionable insights.
• You will work closely with stakeholders across various functions to ensure that data is structured to support strategic initiatives, enhance operational efficiency, and foster business growth.
• Collaboration with data engineering, analytics, and business teams will be essential as you develop data models, establish data standards, deliver data products, and enable advanced analytics.
• Positioned at the crossroads of strategy, data governance, and business intelligence, this role is ideal for someone who can bridge the gap between data analytics and business outcomes.
• Experience in AI and Data Science is highly desirable to support advanced analytics initiatives and leverage AI-driven insights.

Key Responsibilities:

Design Business-Centric Data Architecture: Create scalable, business-aligned data models that support enterprise reporting, corporate KPIs, and operational decision-making.

Utilize AI and Data Science techniques to develop predictive models and advanced analytics solutions.

Improve data accessibility & usability: Work with business leaders to define data requirements and ensure that reports, dashboards, and analytics tools deliver relevant, high-quality insights.

Ensure Data integrity & consistency: Establish standards for data accuracy, governance, and alignment across different functions.

Champion data visualization & self-service Analytics: Build and optimize dashboards and reports in Tableau (or similar BI tools) that enable business users to explore data and answer key questions with confidence.

Enable a 360-Degree view of the business: Design data models that provide a unified, cross-functional view of customers, products and financials.

Support strategic planning & operational efficiency: Use data insights to identify trends, risks, and opportunities that inform executive decision-making and improve operational execution.

Collaborate across teams: Partner with business leaders, data engineers, and analysts to align on key metrics, define data requirements, and drive adoption of analytics tools.

Bridge business & technology: Act as a translator between business needs and data engineering, ensuring that technical teams build solutions that directly support business goals.

Qualifications

7+ years of experience in data architecture, analytics, or business intelligence roles with at least 2 years in a leadership or senior role

Strong understanding of business metrics, KPIs, and performance measurement across functions like sales, finance, and operations.

Strong experience implementing data governance frameworks and practices, with a focus on data quality, stewardship, and metadata management.

Expert-level skills in data visualization tools like Tableau or PowerBI

Solid hands-on experience with cloud data warehouses like Snowflake, including schema design and data modeling.

Advanced SQL skills, experience with Python or R or other data manipulation languages

Experience in AI and machine learning frameworks, in building ML models is a plus.

Strong business acumen and the ability to translate complex data into meaningful insights for stakeholders at all levels.

Background in financial modeling, market analysis, or business transformation projects is a plus.

Excellent communication, collaboration and presentation skills, with the ability to effectively interact with stakeholders at all levels of the organization.

Strategic mindset with a passion for leveraging data and analytics to drive business strategy and decision-making.