Senior Manager, Data Platforms

ManagerManagerFull TimeRemoteTeam 5,001-10,000Since 1878H1B No SponsorCompany SiteLinkedIn

Location

Ohio

Posted

18 days ago

Salary

Not specified

Bachelor Degree7 yrs expExperience acceptedEnglishAWSAzureCloudETLGoogle Cloud PlatformJavaKafkaNo SQLPythonRDBMSRealmSQLTableau

Job Description

• Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. • Design the structure and layout of data systems, including databases, warehouses, and lakes. • Partner with data architecture to design systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures. • Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms. • Design and implement processes for the ETL process from various sources into the organization's data systems. • Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards. • Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps. • Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company. • Lead and participate in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums. • Define and manage standards, guidelines, and processes to ensure data quality. • Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions. • Evaluate and recommend emerging technologies for data management, storage, and analytics.

Job Requirements

  • Bachelor's degree in computer science, Management Information Systems (MIS) or related degree preferred; or equivalent work experience
  • Generally, 7+ years of experience in data modeling, database design, or related field
  • Hands-on relational, dimensional, and analytical project experience using RDBMS, NoSQL data platform technologies, and ETL
  • Strong ability in programming languages such as Java, Python, and C/C++
  • Ability in data science languages/tools such as SQL, R, SAS, or Excel
  • Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks)
  • Experience with database technologies
  • Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
  • Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
  • Ability to assess traditional and modern data architecture components based on business needs
  • Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
  • Ability to regularly learn and adopt new technology, especially in the ML/AI realm
  • Strong analytical and problem-solving skills
  • Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
  • Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
  • Ability to guide solution design and architecture to meet business needs.

Benefits

  • Remote work options

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