Data Architect Senior Associate Data Architect Senior Associate …

in New York City, NY, USA
Festanstellung, Vollzeit
Seien Sie der erste Bewerber
in New York City, NY, USA
Festanstellung, Vollzeit
Seien Sie der erste Bewerber
Data Architect Senior Associate
Data Architects within the CCB Data Infrastructure - CCB Business Modeling Data Domain are responsible for driving critical cross-functional projects in support of designing, building, and implementing customer-centric data assets for use by the CCB Business Modeling Center of Excellence and other stakeholders across the firm. The candidate must exhibit a thorough understanding of data structures, data manipulation, metadata, data security, and data quality management. In addition, the candidate must have a solid understanding of CCB businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of modeling data.

We are searching for a Data Architect who is very enthusiastic about data and building high-quality data solutions. The candidate must have the ability to collaborate with stakeholders and partners inside and outside of the department to understand their needs and design and develop robust data solutions that meet or exceed customer expectations. The ideal candidate will possess JPM institutional data and system knowledge, technical skills, an understanding of data science, and a commitment to producing high quality results.

Other responsibilities will include the following:

  • Collaborate with model developers to understand and prioritize their book of work, identify data requirements, ensure source data availability in the appropriate data environment and engineer "model ready" datasets
  • Maintain a customer business focus on outcomes, work across business and functional boundaries, produce exceptional solutions at scale and drive the success of peers and stakeholders
  • Participate in ongoing product backlog refinement planning with technology partners (may serve as an area product owner) to drive progress of modeling data needs spanning the full modeling life-cycle
  • Manage data across multiple platforms and deployment paths, differentiate between legacy and target state platforms, manage and track "tech debt"
  • Contribute to strategic roadmaps for the Business Modeling data domain that describe a sequence of projects to improve management and utility of the data for the business
  • Develop data subject matter expertise corresponding to a particular sub-LOB or business function and be familiar with a broad range of cross domain data
  • Develop skills and knowledge by learning from fellow team members and reciprocate by sharing knowledge
  • Adhere to data use and controls requirements, complete and submit necessary requests for data intake
  • Communicate project status, issues, or escalations with manager and team members
  • Support legacy processes and platforms while driving toward target state
  • Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and administer firm-wide principles, standards, and controls
  • Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects
  • Identify areas for efficiency across data domains, such as the elimination of duplicate data or platforms
  • Profile, wrangle, and prepare data from diverse sources to support modeling efforts in languages such as Python, SAS, Spark, or Scala
  • Conduct business process analysis and identify data needed to support the processes and determine whether the firm's data is fit for use within a given process
  • Conduct research and development with emerging technologies, determine their applicability to business use cases, document and communicate their recommended use in the firm

Required Skills

  • Strong design, coding, debugging and analytical skills, especially across the big data ecosystem ((e.g. Cloudera Hadoop)
  • Knowledge of other languages such as PySpark, Python, R, Java/Scala including database design and query optimization
  • Excellent command of the SQL language
  • 2 years of experience as a lead or key participant on data infrastructure related efforts
  • Strong knowledge of data structures, algorithms and big data tools (Spark, Hive, HDFS, etc.)
  • BS or MS in STEM field with quantitative b ackground or equivalent experience/knowledge
  • S trong knowledge of data structures, algorithms and big data tools (Spark, Hive, HDFS, etc.)
  • Advanced analytical thinking and problem solving skills
  • Deep technical knowledge of data infrastructure practices and tools
  • Knowledge of version control tools and processes (e.g. Subversion, Git)
  • Technical understanding of common RDBMS systems; (e.g. Teradata, Oracle)
  • Hands-on experience with various data modeling techniques and tools
  • Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
  • Exceptional communication skills, customer focus and necessary expertise in formal and informal testing techniques as well as quality measurement
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.