Senior Solution Architect
New
T
Tiger Analytics Inc.AI and Analytics Consulting
Dallas, Texas, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture
- Required Skills
- AWSSQLETLSparkDatabricksPySpark
Requirements
- 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture.
- Strong expertise in AWS Cloud services (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, and data governance.
- Strong knowledge of SQL, distributed data processing, and cloud-native architecture patterns.
- Experience designing enterprise integration architectures using APIs, streaming technologies, and event-driven architectures.
- Deep understanding of cloud migration strategies, modernization approaches, and hybrid architecture patterns.
- Strong stakeholder management with experience interacting directly with executive leadership.
- Excellent consulting, advisory, presentation, and communication skills.
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.
- Act as a trusted advisor to senior client stakeholders, 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, and governance.
- Define enterprise architecture standards, design patterns, best practices, and governance frameworks.
- Lead technical solutioning discussions with clients, implementation partners, and cross-functional teams.
- Design scalable data ingestion, transformation, storage, and analytics architectures.
- Provide architectural oversight, review technical designs, resolve complex challenges, and mentor global engineering teams.
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