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Systems Manager - GCP Data Engineering, Enterprise Data & Analytics

conEdison

New York, NYJobSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Driver's License

Job overview

The Systems Manager will lead hands-on data engineering and technical teams, designing and operating large-scale data pipelines on Google Cloud Platform. The role covers data processing and modeling, pipeline orchestration, CI/CD, infrastructure as code, operational metrics, and enterprise data integration. Preferred experience includes data governance, regulated industries, and migration of legacy workloads to GCP. The selected candidate will have an emergency response assignment and may work outside business hours.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringPipeline ArchitectureData Platform OperationsTeam LeadershipGoogle Cloud PlatformBigQueryDataflowDataprocPub/SubDataplexCloud StorageSQLPythonSparkETL/ELT Pipeline DesignWorkflow OrchestrationComposer/AirflowCI/CD PipelinesAzure DevOpsInfrastructure as CodeTerraformOperational MetricsSLAsKPIsData GovernanceMetadata ManagementData Quality TestingGreat ExpectationsNERC CIP ComplianceSecurity ProtocolsData ClassificationLegacy Workload MigrationAzureDatabricksC3.AiLeadershipWritten CommunicationVerbal CommunicationFlexibilityProblem Solving

Qualifications

Master's Degree or Bachelor's Degree6+ Years Relevant Experience8+ Years Relevant ExperienceDriver's LicenseGoogle Professional Data EngineerGoogle Professional Cloud ArchitectAAMS CertificationIT Technical Certification

Full job description

Required 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 GCP 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 GCP, 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

EEO 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:

For technical issues, please contact us at [email protected]

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