Principal, Data Architect

Overview The Data Architect interfaces with technology and specific business / functional areas for the development and management of the firm's data assets. Advises internal and external business and technology groups by providing strategic direction, guidance, and data domain expertise in addressing business issues and opportunities. Responsible for understanding available data architecture principles/guidelines and contributing to the best practices, standards, and frameworks supporting the firm's data strategy. Responsible for gathering/deciphering business requirements into an architecturally sound data designs for transactional, analytical, and reporting data taking into consideration volume, velocity, and quality of data. Employing data management methods to achieve data architectural goals including data governance, data management, conceptual/logical/physical data modeling, DDL generation, data catalogs, data classification, data profiles, and data lineage. Responsible for the delivery of high quality data architectural solutions, including enterprise and line of business architectures, while ensuring compliance with company policies. Initiates and drives processes that unleash the value of the Company's data assets to gain competitive advantage in the marketplace. Strategizes and contributes to enterprise level technological initiatives on data governance, management and usage. In addition to the individual contributor primary responsibilities shown below, may also have managerial responsivities, such as: recruits, directs, motivates and develops staff, maximizing their individual contribution, their professional growth and their ability to function effectively with their colleagues as a team. Defines and implements data architecture for corporate data governance and database design principles. Ensures data management business solution deliveries. Adheres to the established data architecture methodologies and standards, and in compliance with company policy. Identifies organization-wide initiatives and makes recommendations for the use of data warehouse technology. Works closely with senior management to educate and to articulate resource requirements necessary to promote warehousing goals. Oversees warehousing activities of the organization to assure the strategic goals of the organization are met, and to assure integration of corporate data constructs (logical and physical database designs). Works toward architectures enterprise data solutions. Performs enterprise planning and designing solutions for emerging business and complex technology environments, including data warehousing. Identifies and recommends ways to drive more value out of the company's data. Designs stable and flexible high performance database solutions, maximizing data reuse and avoiding data redundancy, according to the current and anticipated business rules, following SDLC. Works with other stakeholders in optimizing database solutions. Contributes to the achievement of multiple teams' objectivesSkills, Knowledge/Experience : Data Platforms : Cloud Private/Public Vendors, Cloudera, Oracle, Exadata, SQL Server, DB2 z/os, Teradata, Snowflake, Big Data Hadoop/Hive/hBase Technical: DDL, ANSI SQL, PL SQL, Python, Relational Data, Unstructured data Tools: MS Office, eRwin Data Modeler (or equivalent case/modeling too), Toad, GitlabBachelor's degree in computer science or a related discipline, or equivalent work experience required 10-12 years of experience in data management services required; experience in the securities or financial services industry is a plus