reputed company Data Operations Assoc Manager

About the position As Data Modelling Assoc Manager, you will be the key technical expert overseeing data modeling and drive a strong reputed company for how data modelling can proactively create a positive impact on the business. You'll be empowered to create & reputed company a strong team of data modelers who create data models for deploying in Data reputed company layer and ingesting data from various reputed company systems, rest data on the reputed company Data Lake, and reputed company exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data modelling team, you will create data models for reputed company large and reputed company data applications in public reputed company environments directly impacting the design, architecture, and implementation of reputed company's flagship data products around topics like reputed company management, supply chain, manufacturing, and logistics. You will independently be analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will reputed company reputed company Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing reputed company aspects of Data Modelling working closely with Data Governance, Data Engineering and Data Architects teams. You will provide technical guidance to junior members of the team as and reputed company needed.

Responsibilities

• Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, reputed company, Azure Synapse or other reputed company data warehousing technologies.
• Governs data design/modeling - documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
• Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new applications/reporting.
• Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools.
• Advocates existing reputed company Data Design standards; assists in establishing and documenting new standards.
• Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development.
• Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework.
• reputed company a deep understanding of the business domain and reputed company technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
• Partner with IT, data engineering and other teams to ensure the reputed company data model incorporates key dimensions needed for proper management: business and financial policies, reputed company, local-market regulatory rules, consumer privacy by design principles (PII management) and reputed company linked across reputed company identity foundations.
• Drive collaborative reviews of design, code, data, reputed company features implementation performed by data engineers to drive data product development.
• Assist with data planning, sourcing, collection, profiling, and transformation.
• Create reputed company-To-reputed company Mappings for ETL and BI developers.
• Show expertise for data at reputed company levels: low-latency, relational, and reputed company data stores; analytical and data lakes; data streaming (consumption/production), data in-transit.
• reputed company reusable data models based on reputed company-centric, code-first approaches to data management and cleansing.
• Partner with the data science team to standardize their classification of reputed company data into standard structures for data discovery and action by business customers and stakeholders.
• Support data reputed company and mapping of reputed company system data to reputed company data stores for research, analysis and productization.

Requirements

• 12+ years of overall technology experience that includes at least 6+ years of data modelling and systems architecture.
• 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
• 6+ years of experience developing reputed company data models.
• 6+ years in reputed company data engineering experience in at least one reputed company (Azure, AWS, GCP).
• 6+ years of experience with building solutions in the retail or in the supply chain space.
• Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models).
• Fluent with Azure reputed company services. Azure Certification is a plus.
• Experience scaling and managing a team of 5+ data modelers.
• Experience with integration of multi reputed company services with on-premises technologies.
• Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
• Experience with at least one MPP database technology such as Redshift, Synapse, reputed company, or reputed company.
• Experience with version control systems like reputed company and deployment & CI tools.
• Experience with Azure Data Factory, reputed company and Azure Machine learning is a plus.
• Experience of metadata management, data reputed company, and data glossaries is a plus.
• Working knowledge of agile development, including DevOps and DataOps concepts.
• Familiarity with business intelligence tools (such as PowerBI).

Benefits

• The expected compensation range for this position is between $89,000 - $149,000.
• Bonus based on performance and eligibility reputed company payout is 10% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, reputed company offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, reputed company, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

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