Lead Technology Engineer, Technology Engineering

Team

Information Technology and Digital

Business Unit

New England Jurisdiction

Requisition No.

7762

City

Northboro, US, 01532

Albany, US, 12204

Waltham, US, 02451

Syracuse, US, 13202

Date posted

28 April 2026

# Lead Technology Engineer, Technology Engineering

National Grid is hiring a Lead Data Engineer / Data Integration Lead for our AMI Process & Performance department in any of our National Grid US locations in Upstate NY, or MA.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live.

pace of change in society and our industry is accelerating, and our expertise and track record put us in an unparalleled position to shape the sustainable future of our industry. To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

Job Purpose

We’re hiring a Lead Data Engineer / Data Integration Lead to own and evolve the AMI Operations Center data backbone. This is a hands-on senior IC role focused on building reliable, scalable data pipelines and curated data models in Snowflake and the AMI data ecosystem (Azure + integration platforms) that power downstream analytics, operational dashboards, and automation. You will operate with high autonomy—framing ambiguous problems, clarifying requirements with stakeholders, proposing solution options and tradeoffs, and delivering production-ready data products end to end (ingestion modeling quality monitoring consumption). You will design and implement ELT/ETL patterns, enforce data quality and governance controls, and partner with IT/operations teams to productionize and continuously improve data products.

Key Accountabilities

- Design, build, and support production-grade data pipelines (batch and near real-time where applicable) to ingest AMI meter, network, and operational data into Snowflake and related data stores.

- Develop and maintain curated dimensional/analytical models (e.g., star/snowflake schemas) and semantic-ready datasets to enable consistent reporting and self-service analytics without ad hoc Excel workarounds.

- Implement robust ELT/ETL patterns (SQL + Python) including incremental loads/CDC strategies, idempotent processing, and backfill/replay mechanisms.

- Build and optimize Snowflake objects and workloads (schemas, roles, warehouses, clustering/partitioning strategies, query tuning) with a focus on performance, cost, and reliability.

- Orchestrate and schedule pipelines using National Grid/AMI tooling (e.g., Matillion) and integration platforms/services (e.g., GoAnywhere MFT, MuleSoft, and Azure services such as Blob Storage, Logic Apps, Service Bus/Event Hub, and API Management), establishing standards for deployment, retries, alerting, and operational runbooks.

- Implement automated data quality controls (tests, validation rules, anomaly checks) and ensure data observability/monitoring for freshness, completeness, and SLA adherence.

- Partner with BI/reporting teams (e.g., Power BI) by delivering governed, well-documented datasets and semantic-friendly models—prioritizing reusable data products over one-off reports.

- Provide technical leadership through solution design, code review, and documentation; collaborate with Data Engineering and IT teams to align standards for security, access controls, lineage, and lifecycle management.

- Drive a “data product” mindset: proactively identify high-value AMI operational problems, translate them into clear data requirements, define success metrics/SLAs, and deliver reusable datasets that reduce manual effort and improve operational decision-making.

- Leverage automation (scripting, workflow tools, and approved AI assistants where appropriate) to reduce manual operational effort and improve mean-time-to-detect/resolve data issues.

Qualifications

Required qualifications

- 8+ years of hands-on data engineering experience delivering production pipelines and curated datasets (not primarily ad hoc reporting).

- Expert SQL skills including complex joins, window functions, performance tuning, and data profiling/validation.

- Strong Snowflake experience: data loading patterns, warehouse sizing/cost awareness, security (roles/grants), and performance concepts; solid grounding in relational database fundamentals.

- Proficiency with Python (or similar) for data engineering (APIs, file handling, transformations), and comfort working in Linux/CLI environments.

- Experience building and operating pipelines using modern ELT/ETL and integration tooling in the AMI ecosystem (e.g., Matillion, GoAnywhere MFT, MuleSoft, and/or Azure data/integration services).

- Experience designing analytical data models and enforcing data quality (tests/validation, reconciliation, documentation) for operationally critical datasets.

- Working knowledge of software engineering practices: version control (Git), code reviews, environment promotion, and supporting data products in production.

- Demonstrated ability to work independently in a complex environment: proactively discover requirements, navigate ambiguity, make sound technical decisions, and communicate tradeoffs to technical and non-technical stakeholders.

Preferred qualifications

- Experience with data governance practices (metadata, lineage, access controls) and partnering with product/business stakeholders to define data products and SLAs.

- Hands-on experience designing/implementing integrations using MuleSoft and/or managed file transfer patterns (e.g., GoAnywhere), including secure connectivity, error handling, and operational support.

#LI-ES1

Salary

Upstate NY: $126,000 - $148,000 a year

Massachusetts: $142,000 - $166,000 a year

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.