Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. This role in the Global Data Office will report to the Head of Enterprise Data Architecture, to specialize in four in-demand areas: taxonomy development and management, graph schema design and best practices, semantic "AI" techniques to prepare our data for "AI" technologies and tools, and data governance and compliance. In this role you will act as a subject matter expert that will be a key contributor to enable Equifax to further leverage our transformation into the cloud, to facilitate the creation of advanced and differentiated offerings. Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week. This role will work the required onsite days at our Equifax office in Alpharetta, GA. Sponsorship is not available for this position. This is a direct-hire role - not open to C2C. What you'll do <ul><li>Taxonomy Development and Management: <ul><li>Design and build domain specific taxonomies and ontologies.</li><li>Maintain and update taxonomies as business needs evolve.</li><li>Utilize taxonomies to improve search, information retrieval, and knowledge management.</li></ul></li><li>Graph Schema Design and Implementation: <ul><li>Develop and implement graph data models that accurately represent the complex relationships between entities in the financial domain.</li><li>Work with database administrators and developers to ensure optimal performance and scalability of the graph database.</li></ul></li><li>Semantic AI Integration: <ul><li>Leverage AI technologies such as natural language processing (NLP) and machine learning (ML) to enhance the capabilities of taxonomies and graph data models.</li><li>Develop and implement algorithms for semantic search, entity recognition, and relationship extraction.</li></ul></li><li>Support the design and implementation of data models that enable the acquisition, production, storage, access, analysis, and delivery of data to meet business objectives, acting as a bridge between the data requirements of business and analytic processes, and the physical implementation of that data in technology infrastructure.</li><li>Align components of the data environment with the enterprise data strategy - by understanding data structures and flows and how they relate to business use.</li><li>Work with IT to align underlying physical sources with the specified data architecture.</li><li>Support management of the data architecture through various governance processes.</li><li>Support the design and evolution of the architecture of our data asset to drive value and NPIs.</li></ul> What experience you need <ul><li>BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred.</li><li>5 - 7 years of data analysis and modeling experience, particularly applied to common and specific business uses.</li><li>Cloud and other relevant technical certifications strongly preferred.</li><li>Familiarity with cloud and on prem technologies, structured and unstructured data, streaming and reposed data.</li><li>Experience with data modeling techniques and tools.</li><li>Experience in analytics and AI solutions such as NLP and ML.</li><li>Strong understanding of semantic web technologies, taxonomies, ontologies, and graph databases.</li><li>Knowledge of Python programming language.</li><li>Experience with a data visualization and reporting tool.</li><li>Experience working closely with business and analytics teams to understand their needs (e.g., design thinking sessions, business requirements, agile methods, etc.), maintain ongoing engagement through development, rollout, and improvement cycles.</li><li>Hands on Technical capabilities such as - designing and developing relational and non-relational data models.</li><li>Excellent communication and collaboration skills, with proven ability to work independently or as part of a team with strong attention to detail.</li></ul> What could set you apart <ul><li>Technical Advising / Consulting - Experience modeling entities, relationships, attributes, and abstract data building blocks for a given business case, considering both specific database / physical design as well as the logical and conceptual design required for business use.</li><li>Domain Knowledge: A solid understanding of financial products, markets, and regulations is crucial for effective communication and collaboration with business stakeholders.</li><li>Data Security and Privacy: The financial services industry is subject to strict data security and privacy regulations.</li><li>Risk Management: Understanding of risk management principles and how data can be used to identify and mitigate risks is important in the financial sector.</li></ul> #LI-Hybrid #LI-KD1 We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Primary Location: USA-Atlanta JV White Function: Function - Data and Analytics Schedule: Full time

Iris's Fortune 100 direct client is looking for Cloud Architect- Snowflake/Databricks. Please find below Job description and share me your updated resume at Saurav.upadhyay@irissoftware.com . Position: Cloud Architect- Snowflake/DatabricksLocation: Alpharetta GA (Hybrid) Responsibilities:Cloud Architecture Design and Implementation:<ul><li>Design and implement robust, scalable, and secure cloud-based data solutions using Snowflake and Databricks.</li><li>Develop and maintain architectural blueprints, design specifications, and technical documentation.</li><li>Ensure alignment of solutions with business requirements and industry best practices.</li></ul>Data Engineering and Integration:<ul><li>Build and optimize data pipelines to ingest, transform, and load data from various sources into Snowflake and Databricks.</li><li>Implement data governance and security policies to ensure data quality and compliance.</li><li>Collaborate with data scientists and engineers to enable efficient data access and analysis.</li></ul>LLM Integration and Optimization:<ul><li>Design and implement solutions to integrate LLMs with Snowflake and Databricks.</li><li>Optimize data storage and processing for LLM workloads.</li><li>Explore and evaluate new LLM technologies and their potential applications.</li></ul>Performance Monitoring and Optimization:<ul><li>Monitor the performance and health of cloud data solutions.</li><li>Identify and resolve performance bottlenecks and optimize resource utilization.</li><li>Implement proactive monitoring and alerting systems.</li></ul>Collaboration and Mentorship:<ul><li>Collaborate effectively with cross-functional teams, including data scientists, engineers, and business stakeholders.</li><li>Provide technical guidance and mentorship to junior team members.</li><li>Stay abreast of the latest trends and technologies in cloud computing, data warehousing, and LLMs.</li></ul>Essential:<ul><li>15+ years of experience in cloud architecture and data engineering.</li><li>Strong hands-on experience with Snowflake and Databricks.</li><li>Proven experience in designing and implementing data pipelines and ETL processes.</li><li>Experience with LLM technologies and their applications.</li><li>Proficiency in SQL, Python, and other relevant programming languages.</li><li>Excellent communication, collaboration, and problem-solving skills.</li></ul>Desirable:<ul><li>Experience with cloud platforms like AWS, Azure, or GCP.</li><li>Knowledge of DevOps practices and tools.</li><li>Experience with data governance and security frameworks.</li><li>Certifications in Snowflake, Databricks, or relevant cloud technologies.</li></ul> About Iris Software Inc.With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

Data Architect Jobs in Alpharetta, GA

Data Architect Semantic And Graph Technologies
November 7, 2024

Lead Data Architect
November 6, 2024

Enterprise Data Architect
November 5, 2024

Data Architect Snowflakedatabricks
November 4, 2024

Semantic Data Architect
October 29, 2024

Data Architect Snowflakedatabricks
October 26, 2024

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Data Architect Jobs in Alpharetta, GA

Data Architect Semantic And Graph TechnologiesNovember 7, 2024

Lead Data ArchitectNovember 6, 2024

Enterprise Data ArchitectNovember 5, 2024

Data Architect SnowflakedatabricksNovember 4, 2024

Semantic Data ArchitectOctober 29, 2024

Data Architect SnowflakedatabricksOctober 26, 2024