Senior Data Architect

14 hours ago

Princeton, New Jersey, United States Educational Testing Service (ETS) Full time
Job Title: Senior Data Architect

We are seeking a highly skilled Senior Data Architect to join our team at Educational Testing Service (ETS). As a key member of our data architecture team, you will be responsible for designing and implementing data architectures that support our business strategies and drive innovation.

Key Responsibilities:

  • Articulate and document a data architecture solution vision.
  • Oversee data architecture designs, business requirements, prototypes, testing, and training.
  • Develop conceptual, logical, and physical data models, and support 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.
  • Provide recommendations on innovative data platforms, tools, and services, and align decision-making with the organization's strategic data vision and all standard policies, processes, and procedures.
  • Manage a repository of documentation related to data architecture standards, protocols, and frameworks, and regularly evaluate for improvement opportunities.
  • Maintain 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, HIPAA, 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.

Requirements:

  • 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:
    • Strong expertise in Azure Analysis Services (AAS), Power BI Premium Gen2, Azure Data Factory, Azure Synapse, Data/Delta Lake, Microsoft Fabric, and Data Pipelines.
    • Proven experience in designing and implementing data solutions on the Azure Platform.
    • Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
    • Strong knowledge of SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server).
    • Experience with Pyspark framework building data lake (S3/Iceburg), data warehouse (on Redshift Serverless/Spectrum), EMR (serverless), pipelines & catalogs construction (Glue, Athena).
    • Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and big data technologies (e.g., Hadoop, Spark).
    • Understanding of ETL processes and tools (e.g., Python).
    • 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.

Benefits:

  • 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.

About ETS:

ETS is a mission-driven organization that is committed to advancing quality and equity in education. We believe in a Total Rewards philosophy for our employees, which includes a comprehensive benefits package, opportunities for professional growth and development, and a supportive work environment.

How to Apply:

Interested candidates should submit their application through our website. We are an equal opportunity employer and welcome applications from diverse candidates.

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