Data Modeler

Skills

A bachelor's or master's degree in computer science statistics applied mathematics data management information systems information science or a related quantitative field is required. At least 10 years or more of work experience in data modeling disciplines including data integration model optimization and/or other areas directly relevant to data modeling responsibilities and tasks and ideally 5 years of this experience working in cross-functional teams and collaborating with business stakeholders in utilities in support of a departmental and/or multi-departmental data management and analytics initiative. Strong experience building managing and working with cross-functional teams in a dynamic business environment. Deep experience managing and leading teams with varied skillsets including information architects data architects data modelers and data engineers. Creativity and collaboration skills Accessibility and ability to interface with and gain the respect of stakeholders at all levels and roles within the company. Good judgment a sense of urgency and has demonstrated commitment to high standards of ethics regulatory compliance customer service and business integrity. Technical Skills

Description

You'll be part of the Chief Data Office function. It is a critical role to deliver on National grid vision which is "To be at the heart of a clean, fair and affordable energy future". You'll be working as part of a multi-disciplinary team of data and analytics leaders, and fellow data experts to develop and manage data products that can empower our business to make decisions from data to drive growth activities and bring efficiencies to our data processes and data maturity.

• Business & data analysis to gain the necessary level of understanding for the data definition and usage
• Production of the data model working with Data engineers
• Forward engineering of the physical implementation of critical data use cases

Responsibilities

• Extensive knowledge and experience with conceptual, logical, and physical data models. Deep knowledge of 3NF and creating data models using relational design. Knowledge of NoSQL database design and dimensional design.
• Experience and knowledge of NoSQL databases, Snowflake is a plus.
• Knowledge of working with the integration of large Heterogeneous datasets:
• ETL/ELT
• Data replication/CDC
• Message-oriented data movement
• API design and access
• Data virtualization
• Streaming data
• Knowledge of data life cycle and data development process.
• Strong experience with Creation of complex conceptual, logical and physical data models using 3NF, NoSQL, and dimensional design.
• Hands on experience with Data modelling tools such as - ER / Studio, Erwin, PowerDesigner etc is a MUST
• Reviewing modifications of existing data models and systems for cross-compatibility.
• Implementing data strategies and data models.
• Updating and optimizing data and metadata models.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Experience with managing data modeling, architects, data analysts.
• Experience in Database capabilities such as:
• [SQL, PL/SQL, others] for relational databases
• NoSQL oriented databases like MongoDB, Cassandra, others] for nonrelational NoSQL databases.
• Analytics, and BI software tools like [Tableau, Qlik, PowerBI and others] for semantic-layer-based data discovery.

Educational Requirements

• Working with data science teams, helping them to refining and optimizing data science and machine learning models & algorithms, and determine metadata querying requirements.
• Working with the business and analytics teams to gather requirements for the data model and database design. Working with data requirements documents to design and implement the data model.
• It would be awesome if you had
• A combination of IT skills, data governance skills, and analytics.
• Confidence, energetic self-starter mindset, with strong interpersonal skills.
• Familiarity with industry standard models, preferably for the utility industry, knowledge graph networks, or ontologies.
• Ability to network and be recognized as a data expert across a variety of business and IT roles.
• Our organization follows a hybrid work structure in our service territory (NY & MA and adjacent states) where employees can work remotely or from the office, as needed. Working from the office is encouraged when working on tasks that require a high degree of collaboration. We work with our employees to foster a work schedule that fits your flexible schedule.