Solution Architect

Tiger Analytics • Dallas, TX

76d

About The Position

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 at scale. Join 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.

Requirements

• 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.
• Deep, hands-on experience and architectural proficiency across AWS Services: Amazon EMR (Elastic MapReduce), Amazon S3, AWS Glue, and Amazon Redshift.
• Expert knowledge in PySpark for large-scale data transformation and processing.
• Proven experience designing and managing scalable data warehouse solutions, specifically using Redshift.
• Hands-on experience with Snowflake.
• Experience with tools like DataHub and data quality frameworks such as Great Expectations.
• Advanced data modeling techniques and methodologies.
• Excellent communication and teamwork skills.

Responsibilities

• 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.
• 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.
• Provide clear technical leadership and oversight to the engineering and development teams, ensuring alignment with the established architectural vision.
• 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.

Benefits

• Significant career development opportunities exist as the company grows.
• Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees