As a Principal Data Architect at Solstice, lead the design and implementation of data architecture solutions. Ensure data integrity, security, and accessibility to meet strategic organizational goals.
About the role
- Senior Data Engineer developing ETL and data pipelines for Burlington’s digital transformation team. Collaborating with analytics and engineering teams to support insights from data analysis.
Responsibilities
- Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it for advanced analytics activities and AI/ML and GenAI uses
- Guide and lead development of data pipelines to enable real-time, high volume, data consumption
- Leverage data engineering best practices and tools in collaboration with analytics translators, data scientists, and cloud engineers
- Assist with researching first and third-party data sources to enable access and ensure availability of relevant data sources for those who need it
- Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions
- Provide ongoing operational support for ETL/ELT environments including development, test, and production
- Design, implement, and deploy data loaders to load data into the cloud data platform
- Assist in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use
- Mentoring junior members of the team
Requirements
- Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas
- 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions
- Extensive experience developing SQL based data processing
- 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
- Experience with Snowflake and Oracle Databases as well as Azure and ADLS
- Experience in development & provisioning RESTful APIs to enable real-time data consumption
- Experience with source control tools such as GitHub and related CI/CD processes
- Technical expertise with pulling and massaging data
- Great understanding of first/third party data
- Agile Development methodology
- Database Normalization
- Advanced SQL skills
- Understanding of data management principles and processes
- Passion for data, analytics and pushing business innovation
- Strategic thinker who loves technology and innovation
- Excellent communication skills
- Experience with Informatica IDMC (preferred)
- Experience with GenAI and Natural Language Processing (NLP) frameworks (preferred)
- Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) (preferred)
- Unix / Linux Experience (preferred)
- Experience with CI/CD practices (preferred)
- Previous experience with DevOps (preferred)
- Experience with Python / Java programming languages (preferred)
- Experience with one or more enterprise scheduler (preferred)
- Experience with AI-based testing, experimentation and prototyping (preferred)
- Retail or CPG experience preferred
Benefits
- competitive wages
- flexible hours
- associate discount
- medical, dental and vision coverage
- life and disability insurance
- paid time off
- paid holidays
- 401(k) plan
- training and development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Platform Specialist overseeing data workflows and enhancing data quality for Stackgini's AI - driven IT solutions. Collaborating with teams to drive improvements and stakeholder support.
Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
Senior Product Manager defining platform capabilities for Data Cloud in Salesforce. Collaborating with R&D teams while shaping product strategy for Data 360 integration.
Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.