Facebook pixel

Lead Data Architect
Posted on 3/8/2022
INACTIVE
Locations
Austin, TX, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Hive
Apache Spark
Data Analysis
Data Science
Data Structures & Algorithms
Hadoop
Business Analytics
Java
Linux/Unix
Management
Research
Scala
SCRUM
SQL
Python
Writing
Requirements
  • 12+ years of relevant work experience with a Bachelor's Degree or at least 8+ years of relevant work experience with a Masters Degree, or a PhD
Responsibilities
  • Deliver enterprise solution at scale for commercial products and deliver the next generation of payments
  • Identify appropriate technical solutions and/or products and designs that will best prepare the company to meet present and future business objectives
  • Design the most appropriate solution with well understood trade-offs that meet the business requirements
  • Propose new solutions to meet the fast-changing payments industry landscape
  • Document the solution designs clearly and with enough details so delivery and execution teams can size the effort
  • Perform proof of concept to evaluate new and emerging technologies, design patterns, and proposed solutions
  • Work with engineering professionals, fellow software architects, and others within Visa to ensure that proposed solutions will scale appropriately and that the implementation will be a cost-effective solution
  • Manage the creation of several artifacts relating to the detail design and use cases that are solved for
  • Collaborate with data engineers and provide technical guidance during the construction phase of a project
  • Continue to learn about the payments industry and the factors impacting the payments industry
  • Identify opportunities for further enhancements and refinements to standards and processes
  • Fine tune the existing application with new ideas and optimization opportunities to reduce the latency to meet the client SLAs
  • Mentor the data engineers, and closely work with them and platform leaders to develop departmental procedures and best practices standards
  • Lead the data architecture and related technical strategies in the areas of data management, data platform, business analytics, data catalog, data quality, ETL, enrichment and data integration
  • Passionate about designing, maintaining and documenting data models (conceptual/physical) based on functional areas enabling effective and timely enterprise analytics
  • Build data strategy to enable both short-term and long-term needs for an extensible, trustworthy, and modern data architecture capable of evolving with changing needs
  • Lead initiatives like implementing data quality framework, data catalog, data governance and improving engineering productivity
  • Scoping/Effort Estimates: contribute to solution scoping and effort sizing with a cross-functional team
  • Research: stay informed on technology trends and product roadmaps to make informed solution architecture recommendations
  • Lead/Work with the multiple scrum teams with data engineers to provide the solutions and drive the ideas to activate them for the clients
Desired Qualifications
  • Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred
  • Minimum of 12+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging development best practice methodologies
  • Minimum of 8+ years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Scala, Java, Hive, HBase, Oozie, Data APIs, streaming and Map Reduce
  • Relevant experience with software design, Data engineering, architecture and ETL data pipeline development life cycle
  • Hands-on expertise with Spark/Scala or Spark/Java or Spark/Python
  • Experience with highly distributed, scalable, concurrent and low latency systems
  • Deep knowledge of Unix/Linux, Shell Scripting and writing SQL queries
  • Deep knowledge of all Data Warehouse related components (Sourcing, ETL, Data Modeling, Infrastructure, Reporting, Data Visualization) and multiple tools to support those components
  • Strong foundation in computer science, with strong competencies in data structures, algorithms and software design optimized for building highly distributed and parallelized systems
  • Experience with Agile methodologies. Work experience in improving the client experience
  • Excellent analytical and problem solving skills with a strong automation and customer mindset
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Must have strong interpersonal and communication skills (written and verbal). Should be comfortable facilitating multi-team activities
  • Payment processing background is a big plus
Visa

10,001+ employees

Leading credit card company
Company mission
Visa's mission is to remove barriers and connect more people to the global economy. The company provides end-to-end financial infrastructure.
Benefits
  • Health Insurance.
  • Life Insurance.
  • Dental Insurance.
  • Disability Insurance.
  • Accidental Death & Dismemberment Insurance.
Company Values
  • Integrity: Doing well by doing right.
  • People: Behind payments are people.
  • Innovation: Pioneering with a purpose.
  • Clients: Keeping clients in focus.
  • Collaboration: Pulling ahead by pulling together.