Data Manager

Infinityquest It Services; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Manager to lead the design and implementation of data architecture and modeling solutions. This role involves developing conceptual, logical, and physical data models while optimizing data query performance. The ideal candidate will have extensive experience with relational and NoSQL databases, data warehousing, and big data platforms. Join a forward-thinking company where your expertise will drive innovative data strategies and solutions, ensuring the success of enterprise information management and business intelligence initiatives. This is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

• 5+ years of hands-on relational, dimensional, and analytic experience.
• Experience with data warehouse, data lake, and enterprise big data platforms.

Responsibilities

• Implement business and IT data requirements through new data strategies.
• Work with teams to build data flows and develop data models.

Skills

Data Modeling

RDBMS

NoSQL

ETL

Data Visualization

Team Management

Education

Bachelor's or Master's in Computer/Data Science

Tools

Erwin

ER Studio

Job description

Hiring for Top MNC (Looking for Immediate Joiners)- For long-term contract

JD for Data Manager

The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.

The successful candidate will:

- Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

Responsibilities

- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

Skills

- Bachelors or master’s degree in computer/data science technical or related experience.
- 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
- Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
- Experience in team management, communication, and presentation.