Senior Data & Analytics Solutions Architect

Tiger Analytics Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Tiger Analytics Inc. is seeking a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives.

The role focuses on AWS and Databricks, with the ability to engage CXO-level stakeholders to shape future-state architectures. The successful candidate will drive architecture governance, data governance, and platform modernization across data lakes, lakehouses, and data warehouses, mentoring global engineering teams and

Qualifications

• 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture.
• Deep expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake Formation, Step Functions, CloudWatch, EventBridge, ECS/EKS.
• 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.

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.

Skills

Stakeholder management

Consulting

Presentation skills

Communication

Leadership

Architectural oversight

Tools

AWS Cloud services

Databricks

Delta Lake

Unity Catalog

Spark

PySpark

Lakehouse architecture

Job description

Tiger Analytics Inc. is seeking a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives.

The role focuses on AWS and Databricks, with the ability to engage CXO-level stakeholders to shape future-state architectures. The successful candidate will drive architecture governance, data governance, and platform modernization across data lakes, lakehouses, and data warehouses, mentoring global engineering teams and