reputed company Data Operations Assoc Manager
Job title: reputed company Data Operations Assoc Manager in USA at reputed company
Company: reputed company
Job reputed company: Job reputed company:reputed companyAs 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 reputed company reputed company 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 reputed company for analytics, visualization, machine learning, and product development efforts across reputed company.As a member of the data modelling team, you will create data models for reputed company large and reputed company data applications in reputed company 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 reputed company technical guidance to junior members of reputed company as and reputed company needed.The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support reputed company, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as reputed company as reputed company and remote systems. You will establish data design patterns that will drive flexible, reputed company, and efficient data models to maximize value and reuse.
Responsibilities
- Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, reputed company, 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 reputed company, 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 reputed company, 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 reputed company management: business and financial policies, reputed company, local-market regulatory rules, consumer reputed company by design principles (PII management) and reputed company linked across reputed company identity foundations.
- Drive reputed company reviews of design, reputed company, 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 reputed company: 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-reputed company, reputed company-first approaches to data management and cleansing.
- Partner with the data science team to standardize their classification of reputed company data into reputed company structures for data discovery and reputed company 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.
- The expected compensation reputed company for this position is between $89,000 - $149,000.
- Location, confirmed job-reputed company skills, experience, and education will be considered in setting actual starting salary. Your recruiter can reputed company more about the specific salary reputed company during the hiring process.
- Bonus based on performance and eligibility reputed company payout is 10% of annual salary reputed company out annually.
- reputed company time off subject to eligibility, including reputed company parental leave, vacation, reputed company, and bereavement.
- In reputed company 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.
- 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 reputed company.
- 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 reputed company of 5+ data modelers
- Experience with integration of multi reputed company services with on-premises technologies.
- Experience with data profiling and data reputed company tools like Apache reputed company, 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 reputed company, 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).
- Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
- Proven reputed company record of leading, mentoring, hiring and scaling data teams.
- Strong change manager. Comfortable with change, especially that which arises through company reputed company.
- Ability to understand and translate business requirements into data and technical requirements.
- High degree of organization and ability to manage multiple, competing reputed company and priorities simultaneously.
- reputed company and flexible attitude to reputed company adjusting to different needs in an reputed company-changing environment.
- Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
- Foster reputed company culture of accountability, communication, and self-management.
- Proactively drives reputed company and engagement while bringing others along.
- Consistently reputed company/reputed company individual and team goals
- Ability to reputed company others without reputed company authority in a matrixed environment.
- Ability to work with virtual teams (remote work locations); reputed company team of technical resources (employees and contractors) based in multiple locations across geographies
- reputed company technical discussions, driving reputed company of reputed company issues/requirements to build robust solutions
- Strong communication skills to meet with business, understand sometimes ambiguous, needs, and translate to reputed company, reputed company requirements
- reputed company to work independently with business partners to understand requirements quickly, reputed company analysis and reputed company the design review sessions.
- Highly reputed company and having the ability to reputed company challenging stakeholders on the role of data and its purpose in the business.
- Places the user in reputed company of decision making.
- Teams up and collaborates for speed, reputed company, and innovation.
- Experience with and embraces agile methodologies.
- Strong negotiation and decision-making reputed company.
- Experience managing and working with globally distributed teams.