"Alerted.org

Job Description

• Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards

• Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.

• Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.

• Design data products to provide high quality data for quantitative modeling solutions for GRM.

• Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.

• Evangelize and design new data solutions and capabilities to support risk lines of businesses.

• Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.

• Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.

• Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)

• Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

- 6+ years exp in understanding and working with Data Platforms and Data Applications.

o Experience hands-on developing actual prototypes

- (1 opening needed only) Proficient in GenAI frameworks such as Langchain, LamaIndex, OpenAI's Assistants API, FAISS, RAG (Retrieval-Augmented Generation), Azure OpenAI Service, Azure Cognitive Search, and vector databases like Pinecone, VectorDB, AstraDB, and Azure Cosmos DB for MongoDB vCore.

- Proficient in data modeling methodologies including dimensional modeling (Star and Snowflake schemas), Data Vault, 3NF, Kimball and Inmon approaches, and designing slowly changing dimensions (SCDs) for tracking historical data changes.

- Expertise in Big Data tools including Hive for SQL-like queries on Hadoop, Pig for data flow scripting, Flink for stateful computations, Storm for real-time stream processing, MapReduce programming paradigm, Kafka for distributed event streaming, and PySpark for Python-based Spark programming, enabling efficient processing of large-scale datasets.

- Experience designing and building big data architectures and data platforms.

- Strong proficiency in Python for data processing and scripting.

- Practical experience with Apache Spark for large-scale data transformation.

- Ability to develop data visualizations and dashboards with JavaScript.

- Familiarity with data pipeline management, data cataloging, data lineage, and data quality tools • Knowledge of graph processing and graph stores is a plus.

• Basic understanding of Javaspringboot is good, but not a requirement.

• Exposure to open data, linked data and frameworks such as Apache Jena

cloud platforms is a huge plus.

• Collibra experience

• Open Meta Data frameworks such as Apache Atlas, Datahub, Marquez and Open lineage

• Prior Risk experience – consumer side of risk