Job DescriptionThe Systems Manager, Google Cloud Platform Data Engineering, Enterprise Data & Analytics, leads the hands-on technical team responsible for designing, building, and maintaining the enterprise-grade data pipelines that power the Enterprise Data & Analytics Platform (EDAP). This role manages a highly skilled team of engineers who own the core stages of the data lifecycle on Google Cloud Platform (Google Cloud Platform)including data transfer, ingestion, transformation, curation, exposure, and activation.
In this role, you will lead the strategic build-out of scalable data pipelines to enable reliable downstream data activation for business stakeholders, analytics, and AI/ML model deployment. You will collaborate directly with solution architects, business system owners, and platform partners to deliver high-quality data products while maintaining hands-on depth in SQL, Python, Spark, and Google Cloud Platform-native serverless architecture. The ideal candidate blends outstanding technical, data engineering, and data modeling expertise with a proven track record of people management, fostering a culture of operational excellence, FinOps cost-efficiency, and rigorous data governance implementation.
This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.
ResponsibilitiesCore Responsibilities- Team Leadership & Development: Lead, mentor, and develop a technical, high-performing team of Google Cloud Platform data engineers, establishing work plans, setting performance metrics, and managing day-to-day agile execution
- Hands-on Technical Leadership: Maintain deep technical expertise to guide architecture, review code, and directly assist with prototyping, troubleshooting, and unblocking complex pipeline issues
- Data Ingestion & Transfer: Oversee the secure onboarding of diverse batch and streaming datasets from legacy on-premises systems and cloud sources into the landing zone of the platform
- Data Transformation & Curation: Drive the design and development of performant, automated data transformations, establishing trusted, clean datasets via a structured medallion architecture (Bronze, Silver, Gold layers) using tools such as SQL, Python, and Dataform
- Data Exposure & Activation: Lead the delivery of secure exposure layers (views, authorized datasets, APIs) that surface curated data products to business consumers, dashboard interfaces, and advanced AI systems (Enterprise Gemini/Vertex AI / Model & Agent Garden)
- Pipeline Reliability & FinOps: Establish monitoring, alerting, and performance-tuning frameworks to ensure data pipelines are resilient, highly available, and cost-efficient. Coordinate closely with FinOps to identify spend anomalies and optimize Google Cloud Platform query and storage costs
- Governance & Compliance Alignment: Implement and operationalize data quality rules, data classification, lineage tracking, and access controls in tight integration with the Data Governance team, ensuring compliance with privacy rules (PII, NERC CIP)
- Collaborative Partnering: Act as the key liaison between data engineering, platform operations, legacy migration workstreams, and business stakeholders to align platform capabilities with immediate use cases
QualificationsRequired Education/Experience- Master's Degree and a minimum of 6 years relevant full-time work experience or
- Bachelor's Degree and a minimum of 8 years relevant full-time work experience
Preferred Education/Experience- Master's Degree in Computer Science, Engineering, Math, Business, or a technology-centric field and a minimum of 6 years of relevant full-time work experience in Google Cloud Platform data engineering building scalable data pipelines, managing skilled teams, and delivering governed, cost-efficient data products for analytics and AI/ML
Relevant Work Experience- Demonstrated experience in hands-on data engineering, pipeline architecture, or data platform operations, including time spent leading and managing technical teams, required
- Extensive hands-on experience designing, developing, and operating large-scale data pipelines on Google Cloud Platform, using services like BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, and Cloud Storage, required
- Proficient in SQL, Python, or Spark for large-scale data processing and data modeling, required
- Solid experience with ETL/ELT pipeline design, workflow orchestration (e.g., Composer/Airflow), CI/CD pipelines (Azure DevOps preferred), and Infrastructure-as-Code (Terraform), required
- Experience defining and managing operational metrics, SLAs, and KPIs for enterprise-level data integration platforms, required
- Familiarity with implementing data governance frameworks, metadata management, and data quality testing tools (e.g., Great Expectations, Dataplex), preferred
- Background in utilities, energy, or other regulated industries with exposure to NERC CIP compliance, security protocols, and data classification, preferred
- Experience supporting migration initiatives moving data workloads off legacy ecosystems (such as Azure, Databricks, and C3.ai) onto Google Cloud Platform, preferred
Skills and Abilities- Effective leadership skills
- Strong written and verbal communication skills
- Possesses flexibility to work in a fast paced, dynamic environment
- Demonstrated problem solving skills
- Demonstrated time management and priority setting skills
- Well organized, detail oriented and flexible to handle multiple assignments
Licenses and Certifications- Driver's License Required
- Other: Google Professional Data Engineer Preferred
- Accredited Asset Management Specialist (AAMS) Google Professional Cloud Architect Preferred
- Accredited Asset Management Specialist (AAMS) Technical certification(s) in IT Preferred
Physical Demands- Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
Additional Physical Demands- The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
- Available to work off hours as operationally required
About UsMission Statement:Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) employees are required to follow health, safety, and environmental policies, EEO, Standards of Business Conduct, and all other applicable company policy and procedures. We all share a responsibility to advance the company's mission by excelling at our three corporate priorities - safety of our people and the public, operational excellence in all that we do, and ensuring the best possible customer experience.
Benefits:We are dedicated to supporting the physical, mental, and financial health of our employees and their families. This commitment extends beyond the workplace to foster personal growth and holistic wellbeing. Our life-changing rewards package includes:
- Rich medical & pharmacy benefits, including vision benefits
- Dental benefits
- Health Savings Accounts
- Health Care and Dependent Care Flexible Spending Accounts
- 401(k) with robust matching
- Employer paid Pension Plan
- Employee Stock Purchase Plan with a generous matching contribution
- State of the art Employee Assistance Program
- Paid Parental Leave
- Generous paid time off plus paid holidays
- Family support: emergency backup child, & elder care assistance
- Social responsibility and volunteer opportunities
- Employee discount program
- Commuter Benefits
- Culture of growth and learning: career development; tuition reimbursement; recognition program
- Life and Long-Term Disability Benefits
*Please be aware that some benefits may not apply to provisional or part-time job titles.
About the TeamEEO Statement:
Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual's actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.
Technical Difficulty Statement:
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