Enterprise Data & Analytics Architect – AWS/Databricks

Tiger Analytics; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Career development opportunities

Entrepreneurial environment

Global cross-functional teams

Job summary

Tiger Analytics is seeking a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization initiatives. The role focuses on AWS and Databricks, designing scalable data platforms and engaging CXO-level stakeholders to define future-state architectures.

Responsibilities include guiding governance, architecture standards, and cross-functional collaboration to accelerate Data & AI transformation programs. Strong consulting and leadership skills are essential.

Qualifications

• 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture.
• Expert AWS cloud services experience (S3, Glue, EMR, Redshift, IAM, etc.)
• Extensive hands-on Databricks, Delta Lake, Unity Catalog, Spark, PySpark experience.
• Strong understanding of Data Warehouse, Data Lake, and Lakehouse architectures.
• Experience with data governance, metadata management, and MDM.
• Strong SQL, distributed processing, and cloud-native architecture patterns.
• Experience designing enterprise integration architectures and APIs.
• CXO-level stakeholder engagement and advisory capabilities.
• Excellent consulting, presentation, and communication skills.

Responsibilities

• Lead enterprise Data & Analytics architecture engagements aligned with business objectives.
• Define target-state architecture and modernization roadmaps for migration programs.
• Act as trusted advisor to CXO-level stakeholders; conduct architecture workshops.
• Drive end-to-end solution architecture across data platforms (data lakes, lakehouses, warehouses).
• Define enterprise architecture standards, patterns, and governance frameworks.
• Lead architecture discussions with clients, partners, and delivery teams.
• Design scalable ingestion, transformation, storage, and analytics for structured data.
• Collaborate with business, product, engineering and data science teams to translate requirements.

Skills

AWS Cloud

Databricks

Delta Lake

Spark

PySpark

Lakehouse architecture

Data governance

Architectural leadership

Stakeholder management

Consulting

Tools

AWS

Databricks

Delta Lake

Unity Catalog

Spark

PySpark

Job description

Tiger Analytics is seeking a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization initiatives. The role focuses on AWS and Databricks, designing scalable data platforms and engaging CXO-level stakeholders to define future-state architectures.

Responsibilities include guiding governance, architecture standards, and cross-functional collaboration to accelerate Data & AI transformation programs. Strong consulting and leadership skills are essential.