| Position | 00390 Sr. Data Architect- Hybrid Schedule |
| City, State | Stamford/Greenwich,CT |
| Country | United States |
| Salary | 190-215K plus bonus |
| Contact Name | Steve Silvi |
| silvi@datapathsearch.com | |
| Phone | 203-869-3536 |
| Description | As Senior Data Architect – Team Lead, you will collaborate with the enterprise architect to develop a program, run as process owner, build, and configure acquire tooling to design solutions with performance, maintainability, scalability, and reliability in mind. The ideal candidate will have demonstrated leadership skills with the ability to mentor, influence, and partner with engineering teams to deliver scalable robust solutions. You will be someone who will lead the following: o Development of patterns, standards and best practices in the data engineering and solutions space o Data architecture strategy, design and best practices data platforms and related solutions. • Review and identify data solutions in collaboration with the technology teams across the enterprise • Work with engineering teams to implement architectures • Influence product and delivery requirements, roadmaps, and vision • Manage data engineering team under the Enterprise Architecture organization • Deliver enterprise solutions / architectures with emphasis on data privacy, integrity, scalability, and availability • Produce organized and comprehensive system architectures and the related documentation • Design and build functioning proof of concepts for proposed architectures |
| Requirements | • Bachelor’s or Master's degree in Computer Science or related degree • 7+ years of hands-on cloud engineering experience with public clouds (AWS required) • 5+ years of experience of Data Lake platform implementation and Terraform • 3+ years of IT project/team management experience • Working experience with- o Building and leading engineering teams o Designing, building, and running enterprise distributed systems, real-time ETL, data pipelines o AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift o RDBMS, Spark, Hadoop, Kafka o Programming languages such as Java and Python o CI/CD pipelines and infrastructure as code (IaC) o Serverless big data solutions in AWS To be successful in this position you will posses: • Exceptional personal communication and teamwork interaction skills • Ability to work independently and collaboratively • Excellent analytical and problem-solving skills • A startup personality and enjoy working as part of a team. • Passion to thrive in a fast-paced, rapid growth environment |
