Hybrid Solution Architect

at Tiger Analytics

• Job title: Solution Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Amazon Redshift, AWS, Cloud, Kafka, MapReduce, PySpark
• Location requirements: Hybrid, Dallas, United States

About the role

• Solution Architect leading client-facing data migration projects for Enterprise Data Platform. Working on AWS and Snowflake to drive successful end-to-end migration.

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.

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.
• Candidates must demonstrate deep, hands-on experience and architectural proficiency across the following technologies:
• **AWS Services:** Amazon EMR (Elastic MapReduce), 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 DataHub 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
• Excellent communication and teamwork skills

Benefits

• 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.