> Markdown version of [/jobs/ext/3235700-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/3235700-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** National Grid - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $142,000.0 - $178,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Software as a Service, Cloud Database, Databases, Data Distribution Service, Data Infrastructure, Extract Transform Load (ETL), Data Mapping, Data Migration, Data Profiling, Data Synchronization, Data Systems, Database Development, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Application Data, Salesforce.Com, Software Engineering, Esri GIS (Software), Snowflake, Data Analytics, Real Time Data, Data Management, Legacy Systems - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d4120854b77c3426 ## About the Role * 7+ years' experience in database development (Snowflake, SQLServer, Oracle, etc) * Experience in data mapping, modeling and working with teams to define data models * Experience in a dynamic work environment * Proven ability to work well in a team environment, and be capable of building and maintaining positive relationships with other staff, departments, and customers * Strong communicator * Experience with cloud data architecture (Azure) * Experience with Snowflake * Experience with Matillion (or other ETL tools) is a plus * Experience with real-time data loads is a plus * Experience with coding/design/implementation of large-scale data warehouse environments (Type 2 & Type 1 SCDs, Kimball design concepts, etc.) * Experience with Agile/Lean software development process and practices is a plus * Experience in with SaaS solutions such as Salesforce, ESRI and Workforce is a plus, National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship. ## Description The Lead Data Engineer is a collaborative, hands-on role within the Digital Platform Data Engineering team. This individual is responsible for designing scalable, reliable, and high-performing data solutions for a large-volume enterprise environment and leading the engineering teams responsible for implementation. This role will support a major IT initiative focused on enabling National Grid business partners, improving how employees serve customers today, and building a data platform that supports future growth., * Perform and collaborate on system designs, data solution development including data migration and extracts from multiple legacy systems * Provide day-to-day supervision and leadership of engineering team(s) responsible for implementation. * Updates to data mappings and data catalogs * Participate in, and/or lead, design and pre-deployment reviews. * Data profiling * Design and development of data synchronization processes * Participate in the design/development of SaaS solutions, including data modeling * Assist in determining the cross-application data standards, data distribution standards and promote data-driven design * Create database deliverables ensuring quality and traceability to requirements and adherence to all quality management plans and governance standards * Work with the team to ensure that all components work together to meet objectives and performance goals as defined in the requirements. Identify and communicate any cross-area or cross-release issues that may affect other areas of the project * Participate in go-live preparation activities such as QA, dress rehearsals, issue remediation, cutover and go-live aftercare * Participate in data management maturity assessments to identify gaps and pain points for capabilities including data quality, governance, analytics, metadata management, master data management * Seek opportunities for continuous improvement in processes, procedures and systems with regards to data