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TATA Consulting Servicesposted 3 months ago
$58,600 - $150,000/Yr
Full-time • Mid Level
Seattle, WA
Professional, Scientific, and Technical Services
Resume Match Score

About the position

The position involves leading large-scale, complex, cross-functional projects to build a technical roadmap for the WFM Data Services platform. The role requires collaboration with business partners to identify opportunities and drive resolutions, as well as directing project teams on all technical aspects of the projects. The candidate will be responsible for building and owning automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality. Additionally, the role includes executing proof of concepts on new technology and tools, translating strategic requirements into business requirements, and defining and implementing data retention and governance policies. The candidate will also identify, design, and implement internal process improvements, build the infrastructure for optimal data extraction, transformation, and loading, and develop analytics tools that provide actionable insights into key business performance metrics. The position requires working with various stakeholders to assist with data-related technical issues and support their data infrastructure needs, as well as performing root cause analysis to identify permanent resolutions to software or business process issues.

Responsibilities

  • Leads large-scale, complex, cross-functional projects to build technical roadmap for the WFM Data Services platform.
  • Leading and reviewing design artifacts.
  • Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality.
  • Execute proof of concept on new technology and tools to pick the best tools and solutions.
  • Supports business objectives by collaborating with business partners to identify opportunities and drive resolution.
  • Directing project team and cross functional teams on all technical aspects of the projects.
  • Lead with engineering team to build and support real-time, highly available data, data pipeline and technology capabilities.
  • Translate strategic requirements into business requirements to ensure solutions meet business needs.
  • Define & implement data retention policies and procedures.
  • Define & implement data governance policies and procedures.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources and using big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Perform root cause analysis to identify permanent resolutions to software or business process issues.

Requirements

  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
  • Effective communication skills.
  • Excel at problem solving.
  • Proficiency in debugging, troubleshooting, performance tuning and relevant tooling.
  • Proven ability to manage and deployment of big data implementations.
  • Experience building cloud native enterprise software.
  • Solid understanding of data design patterns and best practices.
  • Proficiency in logging and monitoring tools, patterns & implementations.
  • Understanding of enterprise security, REST / SOAP services, best practices around enterprise deployments.
  • Proven ability and desire to mentor others in a team environment.

Nice-to-haves

  • Working knowledge of data visualization tools such as Tableau is a plus.

Benefits

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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