Nagarro Logo

Nagarro

Associate Distinguished Engineer - Enterprise Data Architect

Reposted 25 Days Ago
In-Office or Remote
Hiring Remotely in Allentown, PA
Expert/Leader
In-Office or Remote
Hiring Remotely in Allentown, PA
Expert/Leader
Develop and implement a data management strategy, oversee data governance and architecture, ensure compliance, and manage vendor relationships to support organizational goals.
The summary above was generated by AI
Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

  • Strategic Data Leadership: Develop and implement a comprehensive data management and analytics strategy that aligns with the organization’s goals and delivers real-world impact
  • Data Governance: Oversee data modeling, master data management, data governance policies and procedures to ensure data integrity, quality, and security, planning for data backup, disaster recovery, and business continuity.
  • Data Lifecycle Management: Manage the full spectrum of data lifecycle activities, ensuring optimal data quality, storage, and utilization aligned with strategic goals.
  • Data Architecture: Oversee design and refine the organizational data framework, ensuring robust, scalable, and efficient data structures and integrations in AWS
  • Compliance and Risk Management: Ensure compliance with relevant data protection regulations and assess data-related risks.
  • Technology and Vendor Management: Evaluate and implement data management and analytics tools and technologies to optimize data processing and analysis. Manage relationships, engagements, contracts, and agreements with external vendors that provide technology solutions.
  • Collaboration: Work closely with various departments to understand their data needs and ensure that the data strategy supports these requirements, serving as the key liaison of the data function to the broader organization
  • Change Management: Lead and facilitate the implementation of data-related changes, ensuring smooth transitions and alignment with organizational goals.

Qualifications

  • A minimum of 10 years of experience in data management and analytics, with at least 5 years in a leadership role.
  • Relevant experience in creating and executing enterprise data strategy in AWS
  • Transforming business goals into data infrastructure
  • Experience in Data governance, Data modeling, Data security, Data strategy, MDM – AWS, Denodo
  • Experience in Industrial IoT and relevant Data Science use cases.
  • Knowledge in Manufacturing domain and good to have lighting or similar domain or IOT related use case knowledge.

Additional Information

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Similar Jobs

9 Minutes Ago
Remote or Hybrid
2 Locations
105K-163K Annually
Senior level
105K-163K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Manage and grow strategic partnerships with Presidio and Trace3 by developing and executing joint GTM plans, coordinating cross-functional enablement and marketing, leveraging investments to maximize ROI, aligning with sales leadership, and using data-driven insights to drive partner-sourced revenue and brand elevation.
14 Minutes Ago
Remote or Hybrid
USA
123K-228K Annually
Senior level
123K-228K Annually
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Lead and manage engineering teams building scalable, low-latency fraud detection systems. Drive system design, performance optimization, streaming/event-driven data platforms, Agile delivery, regulatory compliance, and talent development while partnering with product and risk stakeholders to improve automation and platform reliability.
Top Skills: Data Management Platform (Dmp)Distributed SystemsEvent-Driven ArchitectureHigh-Throughput SystemsLow-Latency SystemsRule EnginesStreaming
An Hour Ago
Remote
United States
102K-133K Annually
Senior level
102K-133K Annually
Senior level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.
Top Skills: AdlsAWSAzureDatabricksDatabricks Asset BundlesDatabricks WorkflowsDbxDelta LakeDelta Live TablesFeature StoreGCPGcsGitMlflowPhotonPysparkPythonS3ScalaSpark SqlSQLStructured StreamingTerraformUnity Catalog

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account