Enterprise Data Operations Assoc Manager
Job title: Enterprise Data Operations Assoc Manager in USA at reputed company
Company: reputed company
Job description: Job Description:OverviewAs Data Modelling Assoc Manager, you will be the key technical expert overseeing data modeling and drive a strong vision 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 Foundation 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 cloud 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 Enterprise 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.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 future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, 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, Spark, Data Bricks, reputed company, Azure Synapse or other Cloud 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 Enterprise 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 enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
- Partner with IT, data engineering and other teams to ensure the enterprise 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 cloud-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.
- The expected compensation range 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 share more about the specific salary range during the hiring process.
- 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, Vision, 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 enterprise data models.
- 6+ years in cloud data engineering experience in at least one cloud (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 cloud services. Azure Certification is a plus.
- Experience scaling and managing a team of 5+ data modelers
- Experience with integration of multi cloud 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).
- Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
- Proven track record of leading, mentoring, hiring and scaling data teams.
- Strong change manager. Comfortable with change, especially that which arises through company growth.
- Ability to understand and translate business requirements into data and technical requirements.
- High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
- Positive 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 a team culture of accountability, communication, and self-management.
- Proactively drives impact and engagement while bringing others along.
- Consistently attain/exceed individual and team goals
- Ability to reputed company others without direct 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 clarity of reputed company issues/requirements to build robust solutions
- Strong communication skills to meet with business, understand sometimes ambiguous, needs, and translate to clear, reputed company requirements
- Able to work independently with business partners to understand requirements quickly, reputed company analysis and reputed company the design review sessions.
- Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
- Places the user in the center of decision making.
- Teams up and collaborates for speed, agility, and innovation.
- Experience with and embraces agile methodologies.
- Strong negotiation and decision-making reputed company.
- Experience managing and working with globally distributed teams.