Cloud Data Solutions Architect
4 days ago
About Tiger Analytics
Tiger Analytics is a renowned advanced analytics consulting firm, trusted by several Fortune 100 companies. We empower them to generate business value from data through our consultants' deep expertise in Data Science, Machine Learning, and AI. Our leadership has been recognized by market research firms like Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.
Are you passionate about solving unstructured business problems using data? If so, we'd love to discuss opportunities with you.
Job Responsibilities
- Mentor client-facing Data Engineers across key accounts and foster best practices adoption
- Review engineer work and establish proactive frameworks for improved productivity and client satisfaction
- Collaborate with DevOps and MLE teams to onboard and productionize Data Science models at scale
- Implement production management processes for data ingestion, transformation, coding utilities, storage, reporting, and integration points
- Coordinate updates between onsite and offshore leadership
- Engage key client stakeholders to review and provide solutions on existing or new architecture requirements
- Recommend strategies for resiliency, security, and cost optimization
- Analyze, architect, design, and develop analytics frameworks, data lakes, and cloud-based data solutions
- Design scalable data ingestion frameworks to transform various datasets, capture metadata, lineage, and implement data quality
Requirements
We're seeking an exceptional candidate with:
- Bachelor's degree in Computer Science or relevant experience in Information systems
- 10 years of IT experience with hands-on system administration and automation
- 3-5 years of AWS experience in building a Data and Analytics platform on the cloud
- 1+ years of deploying services on Kubernetes on-prem or on-cloud
- Strong expertise in Cloud (AWS/Azure/GCP) with modern data and analytics frameworks, big data, and DevOps techniques, and proficiency in programming languages (Python, Java, Scala)
- 1-2 years of experience with Cloud data warehouse (Redshift, Snowflake, BigQuery)
- Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models, and Storage
- Solid knowledge of Big data and Stream processing frameworks - Spark, Flink, or other
- Knowledge of delta lake or similar technology
- Exposure to operationalizing ML models @ scale on Cloud
- Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud
- Understanding of Scrum Agile methodology and experience working on a Scrum team
- Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores
- Good experience working on an onsite/offshore model
- Knowledge of networking, firewalls, load balancers, etc.
- AWS Professional Architect Certification preferred
- Exceptional communication skills and ability to communicate with executives and technical teams
Estimated Salary: $160,000-$180,000 per year
Significant career development opportunities exist as the company grows. The position offers a unique chance to be part of a small, fast-growing, challenging, and entrepreneurial environment with high individual responsibility.
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