Ai jobs in United States
Lead Data engineer
Job summary
This innovative firm is seeking a Data Engineering & Analytics Lead to drive the design and development of cutting-edge data solutions. With a focus on Snowflake and AWS platforms, you will take ownership of technical solutions, engage with clients, and lead practice teams to deliver exceptional results. Your extensive experience in data analytics and cloud technologies will be essential in crafting proposals aligned with client needs and ensuring successful project execution. If you are passionate about data and eager to make a significant impact, this role offers an exciting opportunity to shape the future of data engineering.
Qualifications
- 13-18 years of overall Data and Analytics experience.
- 10+ years in AWS data platform with hands-on experience.
Responsibilities
- End-to-end ownership of Snowflake Data & Analytics solution design.
- Leading and mentoring practice teams while managing technical solutions.
Skills
Tools
Location: Reading/London, UK (1-2 days/week on-site)
Type of Hiring: Permanent/Contract
Responsibilities include end-to-end ownership of Snowflake Data & Analytics solution design and practice development, involving:
- Responding to client RFI, RFP documents with detailed technical solution design including cost estimates.
- Understanding customer requirements and creating technical propositions.
- Developing proactive proposals aligned with customer business priorities and technological landscape.
- Contributing to technical project roadmaps and leveraging technical scoping & solutioning approaches for successful project execution.
- Building solution roadmaps & strategies for internal Data Engineering & Analytics platform.
- Leading analyst briefings and presentations.
- Presenting technical solutions to customers and defending RFPs.
- Managing all aspects of technical solution development to ensure successful delivery.
- Developing best practices as needed.
- Estimating effort, identifying risks, and providing technical support.
- Multitasking and reprioritizing responsibilities based on dynamic requirements.
- Leading and mentoring practice teams.
- 13-18 years of overall Data and Analytics experience.
- At least 10+ years in AWS data platform including AWS S3, Glue, Redshift, Athena, Sagemaker, Quicksight, and MLOPS.
- Expertise in Snowflake DWH architecture, Snowpipe, Data Sharing, Polaris catalog, and data governance.
- Knowledge of additional technologies such as Python, Streamlit, Matillion, DBT, Atlan, Terraform, Kubernetes, Data Vault, Data Mesh is advantageous.
- Ability to engage with principal data architects of client stakeholders.
- Excellent presentation and communication skills for client interactions and presales discussions.
- Hands-on experience with AWS Cloud Data Platforms; at least 2 AWS Data/analytics/AI certifications are mandatory.
- Expertise in Snowflake including DWH, ETL, security, and metadata; SnowPro certification is desirable.
- Experience with open-source software platforms and languages such as Java, Python, Scala.
- Understanding of AWS Bedrock, AI services, and Snowflake Cortex services is desirable.
- Ability to develop IP/solution assets, accelerators, and frameworks.
- Engagement with AWS and Snowflake partners.
- Strong written, verbal, and presentation communication skills.
- Ability to work independently with customers.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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