Senior Data
3 weeks ago
Job Title: Senior Data & AI Infrastructure Architect
Job Summary:
Forsyth Barnes is seeking a highly skilled Senior Data & AI Infrastructure Architect to lead the transformation of our technology data lake and analytics platform within the AWS ecosystem. This role is pivotal in enabling Data Science and Advanced Analytics by designing and building the necessary infrastructure to support these advanced capabilities.
Key Responsibilities:
- Define and implement a Data Lake reference architecture on AWS.
- Design and build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, and AWS technologies.
- Build analytics tools that provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics, leveraging modeling techniques for analysis.
- Assemble large, complex data sets that meet functional/non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
- Provide stewardship to maintain data quality, uphold regulatory guidelines, and data security.
Requirements:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with various databases.
- Experience building and optimizing data pipelines, architectures, and small to medium data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement, utilizing AI modeling techniques for comprehensive analysis.
- Strong analytic skills related to working with structured and unstructured datasets.
- A successful history of manipulating, processing, and extracting value from disconnected datasets, with data extraction and pattern recognition.
- 5 years of experience in a Data Engineer role, with a degree in Computer Science, Statistics, Information Systems.
- Experience with AWS cloud services: EC2, Lake Formation, Athena, Glue, S3 Storage, IAM; Additionally: Grafana, Docker, Datahub, Salesforce.
- Demonstrated ability to work with generative AI technologies and broader AI concepts, including ChatGPT API, LangChain, vector databases, SageMaker, and embeddings models.
- Experience with MLOps practices and deploying ML containers is a plus.
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