Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise data platforms, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive large-scale Data & AI transformation programs.
Key Responsibilities- Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future-ready solutions using AWS and Databricks aligned with business objectives.
- Assess existing legacy data ecosystems and define target-state architecture, modernization roadmaps, migration strategies, and technology blueprints for enterprise transformation programs.
- Act as a trusted advisor to senior client stakeholders (CXO, VP, Director level), conducting architecture workshops, technical discovery sessions, and strategic consulting engagements.
- Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ecosystems.
- Define enterprise architecture standards, reusable design patterns, best practices, and governance frameworks while ensuring alignment with organizational technology strategies.
- Lead technical solutioning discussions involving clients, implementation partners, and cross-functional delivery teams to ensure architecture consistency and successful program execution.
- Design scalable data ingestion, transformation, storage, and analytics architectures supporting structured, semi-structured, and unstructured data.
- Collaborate closely with business, product, engineering, and data science teams to translate business requirements into scalable technical solutions.
- Recommend platform accelerators, reusable frameworks, automation opportunities, and optimization strategies to improve delivery efficiency and reduce implementation timelines.
- Provide architectural oversight throughout project execution, reviewing technical designs, resolving complex technical challenges, and mentoring global engineering teams.
- Lead architecture governance by conducting solution reviews, ensuring compliance with enterprise security, scalability, performance, and data governance standards.
- Drive cloud modernization initiatives involving migration from legacy data platforms to AWS-based cloud-native architectures.
- Evaluate emerging technologies and recommend innovative solutions across Data Engineering, AI/ML, GenAI, and cloud ecosystems.
- Support proposal development, solution estimations, RFP responses, technical presentations, and executive-level client discussions.
Requirements- 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture.
- Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake Formation, Step Functions, CloudWatch, EventBridge, ECS/EKS, and related services.
- Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, Spark, PySpark, and Lakehouse architecture.
- Strong understanding of enterprise Data Warehouse, Data Lake, and Lakehouse architectures.
- Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data governance, and master data management.
- Strong knowledge of SQL, distributed data processing, cloud-native architecture patterns, and scalable data platform design.
- Experience designing enterprise integration architectures using APIs, streaming technologies, messaging systems, and event-driven architectures.
- Deep understanding of cloud migration strategies, modernization approaches, and hybrid architecture patterns.
- Strong stakeholder management with proven experience interacting directly with executive leadership.
- Excellent consulting, advisory, presentation, and communication skills.
BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
