Solution Architect

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions n us to do great work and shape the future of enterprise AI.

We are seeking a highly experienced and client-facing Solution Architect to serve as the senior technical leader for a critical Enterprise Data Platform (EDP) initiative. This role is responsible for driving the successful end-to-end migration of complex source system data into our new, highly governed platform built on AWS and Snowflake
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• Lead the technical discovery, design, and planning phases, effectively translating complex client business needs and requirements into detailed architectural blueprints and robust technical specifications.
• Design and document the end-to-end data flow and pipeline orchestration, from various source system ingestion patterns (batch and streaming) to the final curated Gold Layer models, primarily utilizing AWS Redshift
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• Define the canonical data models for the Silver Layer and establish the optimal dimensional models for the Gold Layer, leveraging data modeling tools like Erwin
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• Provide clear technical leadership and oversight to the engineering and development teams, ensuring alignment with the established architectural vision.

• 15+ years of progressive experience in data engineering, data warehousing, and cloud architecture roles
• Minimum of 10 years specifically in a client-facing or leadership role designing and implementing large-scale data migration projects
• Candidates must demonstrate deep, hands‑on experience and architectural proficiency across the following technologies:
  • AWS Services:
    Amazon EMR (Elastic Map Reduce), Amazon S3, AWS Glue, and Amazon Redshift
  • Data Processing:
    Expert knowledge in PySpark for large-scale data transformation and processing
  • Data Warehousing:
    Proven experience designing and managing scalable data warehouse solutions, specifically using Redshift
  • Data Streaming:
    Kafka and/or Amazon Kinesis
  • Data Warehouse:
    Hands‑on experience with Snowflake
  • Data Governance & Quality:
    Experience with tools like Data Hub and data quality frameworks such as Great Expectations
  • Modeling:
    Advanced data modeling techniques and methodologies
• Participate in fast iteration cycles, adapting to evolving project requirements
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state‑of‑the‑art big data and ML applications
• Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment
• Ability to work with a global team, playing a key role in communicating problem context to the remote teams

Significant 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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.