Lead Architect - Engineering

Responsibilities:

What Makes This Opportunity Unique

This is a prime opportunity to collaborate with pioneering cloud-based data systems and influence critical decision-making within the organization.

Role Summary

Your results will be evaluated based on accelerated time-to-insight, standardized indicator definitions, enhanced platform performance, and expanded reuse of governed data products.

Key Responsibilities

• Define and maintain the enterprise data management and reporting architecture blueprints, vision, principles, and target states.
• Ensure alignment with enterprise architecture strategy, business capabilities, and operating models.
• Work together to handle, maintain, and improve the health of data and analytics capabilities for the enterprise.
• Build analytics solutions optimized for BI reporting, self-service analytics, and advanced analytics/AI consumption.
• Lead the analytics architecture roadmap aligned to business priorities.
• Serve as the build authority for analytics modeling and consumption patterns.

• Take ownership for analytical and dimensional data models used in enterprise reporting.
• Build and govern conformed dimensions, business metrics, and benchmarks.
• Enable tool-agnostic analytics consumption across multiple BI platforms.
• Ensure consistency of definitions across dashboards, reports, and AI use cases.

• Drive a data-as-a-product approach for analytical datasets.
• Define analytics data products with clear onboarding, versioning, and support processes.
• Enable discoverability, trust, and reuse through catalog and marketplace integration.

• Architect analytical solutions on Snowflake, focusing on performance optimization and cost efficiency.
• Define guidelines for analytical table formats, warehouse and cluster sizing strategies, and query optimization.
• Guide teams on Snowflake SQL, notebooks, and compute patterns.

• Establish governance centered on analytics for cloud data platforms.
• Define and monitor analytics data quality rules.
• Ensure compliance with enterprise security, privacy, and regulatory standards.

• Collaborate closely with data engineers, analytics and BI teams, data scientists, and architects.
• Provide architectural leadership and build governance.
• Mentor teams on analytics modeling, platform usage, and guidelines.

Qualifications:

Required Skills & Experience

Over all with 18+ years of experience, 8+ years in data & analytics architecture, analytics engineering, or enterprise analytics roles and with minimum 3 years hands-on experience in designing on modern cloud data platforms (Databricks, Snowflake, or equivalent)

• Hands-on architectural experience with Databricks and/or Snowflake.
• Solid knowledge of Lakehouse compared to warehouse architecture, data catalogs, and balancing cost with performance.

• Sophisticated skills in quantitative and complex data modeling.
• Proficient in SQL and skilled at query optimization.
• Experience building semantic layers and governed metrics.
• Understanding of ETL, ELT patterns, and analytics pipeline build.

• Experience on an AWS cloud platform (or equivalent) and familiar with cloud-native analytics services, Metadata Management and data catalogs.

• Ability to translate business requirements into scalable analytics builds.
• Strong understanding of relevant metrics and management/operational reporting.

Excellent communication, presentation, and collaborator engagement skills.

Additional Information:

• Shown experience in BFSI preferable.
• Architecture or cloud certifications (nice to have).

Location :- Pune & Hyderabad