IT Data Architect Senior

Educational Testing Service (ETS)
Princeton, NJ, US
Full-time

Job Description

Job Description

About ETS :

For more than 75 years, we have amplified products and services based rigorous research and our belief in the power of learning.

Driven by our mission to advance quality and equity in education, ETS provides learning solutions, pioneering research and trusted assessments that help guide learners around the world on their path to new possibilities.

Our portfolio of trusted measures include TOEFL®, TOEIC®, GRE® and Praxis® . Along with research, development and innovation that explores new frontiers in learning and measurement our educational measurement solutions and research contribute to the development of new methods and tools, inform important dialogue with education policymakers, and shed light on critical issues and potential solutions - all with the aim of creating a world where all learners can improve their lives through education.

With new senior leadership at the helm, ETS aims to continue changing the lives of all learners as we expand our organization's global footprint.

Our goal is to remain at the forefront of assessment and measurement efficacy within the education and ed tech space as it continues to grow and evolve.

Position Summary :

The Data Architect, Senior articulates the overall architectural vision, conceptualizes, and experiments with alternative architectural approaches with respect to strategic design and development of data architecture across IT and the organization.

The Data Architect is responsible for how data is collected, stored, processed, integrated, cataloged, modeled, and used to empower product, services, and functions for self-serve business intelligence, advanced analytics, machine learning, and Artificial Intelligence.

This role helps data teams follow the envisioned business and technology direction by articulating the architectural vision through the scope and lifespan of data initiatives.

Responsibilities :

  • Articulate and document a data architecture solution vision.
  • Oversees data architecture designs, business requirements, prototypes, testing, and training.
  • Develops conceptual, logical, and physical data models, and supports the development of data strategies by building roadmaps and creating processes to meet current and future needs.
  • Develop data frameworks and scalable approaches to support an evolving data architecture and integration needs that can be leveraged and re-used for new data-driven business products, services, and functions.
  • Develop and implement cloud data platforms to support product strategy and roadmap, advanced analytics, data science and SQL / NO-SQL datasets to give business, products, and operations a competitive advantage.
  • Provides recommendations on innovative data platforms, tools and services, and aligns decision-making with the organization's strategic data vision and all standard policies, processes, and procedures.
  • Manages a repository of documentation related to data architecture standards, protocols, and frameworks, and regularly evaluates for improvement opportunities.
  • Maintains currency with emerging technologies, leveraging industry knowledge and expertise to drive continuous improvement and innovation efforts in data architecture and related areas (e.

g., Application Programming Interfaces (API), Large Language Models (LLMs), Generative AI (GenAI), Microservices, Event-based architectures).

  • Ensure data architecture and practices comply with relevant industry standards and regulations, such as GDPR, HIPPA, and CCPA.
  • Establish and enforce data quality standards and practices.
  • Continuously improve processes, technologies, and platforms to provide best value to business.
  • Adhere to ethical standards and comply with the laws and regulations applicable to your job function.

Knowledge and Skills :

  • Extensive knowledge of and experience in database development, developing and delivering data architecture solutions and strategies.
  • Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
  • Extensive knowledge and experience with network architecture, IT Architecture principles, frameworks, methodologies, standards and best practices.
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders and executive audiences.
  • Proven ability to collaborate effectively with cross-functional teams and stakeholders.
  • Adaptable and flexible in response to changing business needs and priorities.
  • Technical Expertise :

o Strong expertise in Azure Analysis Services (AAS), Power BI Premium Gen2, Azure Data Factory, Azure Synapse, Data / Delta Lake, Microsoft Fabric, and Data Pipelines.

o Proven experience in designing and implementing data solution on the Azure Platform

o Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).

o Strong knowledge of SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server).

o Experience with Pyspark framework building data lake (S3 / Iceburg), data warehouse (on Redshift Serverless / Spectrum), EMR (serverless), pipelines & catalogs construction (Glue, Athena)

o Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and big data technologies (e.g., Hadoop, Spark).

o Understanding of ETL processes and tools (e.g., Python).

o Knowledge of data governance, data quality, and data security practices.

Education and Experience :

  • Bachelor's degree in Computer Science or an equivalent combination of education, training, and experience from which comparable knowledge and abilities can be acquired is necessary
  • 8+ years in information technology, big data, data science, analytics platforms and / or higher education
  • Minimum 3 years in Data Architecture or relevant field
  • Or an equivalent combination of education and experience to constitute a similar level of expertise
  • Bachelor's degree and 6+ years of experience in relevant field OR Master's degree + 4 years of experience in a relevant field

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ETS believes in a Total Rewards philosophy for our employees, and they include :

  • Health, Vision, Dental insurance plans to choose from
  • Generous continuous learning support, from individual learning grants to up to 6 classes a year for tuition reimbursement as well as on-line learning access!
  • Generous PTO and vacation time to balance your work and life
  • Additional 8 hours of PTO for volunteer work
  • Retirement plan (401(a)) and traditional Roth (403b) with company contribution
  • Commuter Benefits, Pet Insurance, 1 year subscription to Calm App

ETS is mission driven and action oriented

  • Diversity, equity, inclusion, and belonging is at the forefront of the ETS employee's daily work. To further foster an inclusive environment ETS is home to a wide variety of Affinity groups that celebrate the diversity of our talented employees.
  • How about cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders?

ETS offers multiple Business Resource Groups (BRG) for you!

Are you passionate about volunteering and being active in your career and community? ETS offers our Center for Advocacy & Philanthropy (CAAP) where we encourage ETS employees to become active volunteers in their communities and schools through the ETS Cares Giving Campaign.

Our employees can support any 501c3 or eligible charity of their choice.

ETS is an Equal Opportunity Employer comprised of people with different experiences, strengths, and backgrounds who share a passion for advancing quality and equity in education.

We are dedicated to building teams that reflect the various backgrounds, experiences, and identities of those we serve. The Talent Acquisition team strives to ensure candidates enjoy a fair and equitable hiring process.

We believe our differences empower us to be a better team, making better decisions and delivering better results.

17 days ago
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