What are the responsibilities and job description for the Data Modeler position at Apolis?
Job Title Data Modeler
Location Boston, MA (Local)
Experience 10 Years
Rate $80 / h on C2C
Job Description :
Design, implement, and document physical data modeling solutions, which include the use of relational, NoSQL, and dimensional databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.
Work with the Domain teams as needed to create conceptual, logical, physical data models, support physical model implementation and DDL. Synchronize data models and implemented databases to identify implementation completeness and identify any gaps.
Work with Platform engineering teams to drive automation by guiding them through data modeling activities.
Provide oversight and advice to other data modelers who are undertaking the design of data models and support the management of data dictionaries and ontologies.
Participate in the evaluation of data models and databases for variances and discrepancies to ensure
data is represented correctly.
Familiarity with industry standard models, preferably for the utility industry, is a plus.
Experience Required
Strong experience building, managing and working with cross-functional teams in a dynamic business environment.
Expected to be highly creative and collaborative. The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data models developed in non-production environments and deploying them in production.
Required to have the accessibility and ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company.
Is a confident, curious, energetic self-starter and self-motivated with strong interpersonal skills. Able to work independently with minimal supervision.
Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.
Technical skills
Extensive knowledge and experience with conceptual, logical, and physical data models. Deep knowledge of 3NF and creating data models using relational and dimensional design.
Experience and knowledge of Snowflake databases.
Knowledge of working with the integration of large Heterogeneous datasets.
o ETL / ELT
o Data replication / CDC
o Message-oriented data movement
o API design and access
o Data virtualization
o Streaming data
Knowledge of data life cycle and data development process.
Strong experience
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
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Troubleshooting and optimizing data systems.
Experience in Database capabilities such as ..
o [SQL, PL / SQL, others] for relational databases
o Snowflake databases.
o Analytics, and BI software tools like [Tableau, Qlik, PowerBI and others] for semantic-layer-based data discovery.
Working with the business and analytics teams to gather implementation requirements for the data model and database design. Working with data requirements documents to implement the data model.
Metrics for Evaluation
On-time and on-scope delivery of data models in alignment with the business and / or data and analytics and / or data science / engineering team(s).
Ability work effectively and closely with business in creating and delivering data models as part of a data strategy.
Ability to network and be recognized as a data expert across a variety of business and IT roles.
Education and Training
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.
The ideal candidate will have a combination of IT skills, data governance skills, analytics
Previous Experience
At least TEN years or more of work experience in physical data modeling disciplines including data integration, model optimization, and / or other areas directly relevant to data modelling responsibilities and tasks.
Ideally FIVE years of 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.
Ideally TWO years of experience working with Snowflake in creating and implementing physical database designs.
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