VP, Enterprise Data Lake
New York, CA, USA | Synchrony
Consulting - IT
Job Description:59 people have viewed this job
The candidate will lead a team of architects responsible for managing the Data Architecture processes (modeling, provisioning, instantiation, and persistence) which include data lake and data warehouse platforms and interfaces (e.g. real-time, batch, on-demand, streaming). The candidate will have results driven leadership experience leveraging the latest Big Data technologies and products for large advanced analytics communities, including hands on evaluations and in-depth research to ensure solid investment roadmap. The candidate must have a solid understanding of Hadoop and Big Data open source solutions such as Spark, Kafka, Hive, Pig, HBase, and Elasticsearch. Experience with system management tools and system usage and optimization tools a plus. The candidate will also have experience building relationships and influencing cross functional teams across a large organization.
Provide direct oversight, coaching, and leadership for a skilled architecture team who have process oversight, KPI development, and architecture development & guidance responsibilities
Lead and develop an effective, coherent, reliable and phased enterprise data architecture strategy to accelerate Machine Learning & AI efforts across several strategic initiatives.
Develop and execute on a data technology roadmap to accelerate advanced analytics & data science into cloud-based capabilities
Map business opportunities to appropriate data architecture patterns as business strategies and technology mature.
Develop and maintain processes to acquire, analyze, store, cleanse, and transform large datasets using tools like Spark, Kafka, Sqoop, Hive, NiFi, HBASE and MiNiFi
Provide recommendations, technical direction and leadership for the selection and incorporation of new technologies into the Hadoop ecosystem
Contribute to the development, review, and maintenance of requirements documents, technical design documents, and functional specifications
Help design innovative, customer-centric solutions based on deep knowledge of large-scale, data-driven technology and the financial services industry
Help develop and maintain enterprise data standards, best practices, security policies and governance processes for the Hadoop ecosystem
Perform other duties and/or special projects as assigned
Bachelor's degree with minimum 9 years of technology experience OR in lieu of the Bachelor's degree minimum 12 years of experience in Technology
7 years’ experience leading, coaching, and developing talent in a technical function/organization
4 years’ experience as an Architect with hands on working experience on Hadoop, Spark, Kafka, MapReduce, HDFS, Hive, Pig Sqoop and Oozie
Experience in AI, BI and machine learning projects
Experience working on AWS, Azure or other cloud providers for big data
Credit card/payment experience
Strong background in Financial Services
Extensive experience working with data warehouses and big data platforms
Experience working in real-time data ingestion
Experienced in sourcing and processing structured, semi-structured and unstructured data
Experience in working No-SQL data stores such as Hbase / Cassandra / HAWQ DB etc.
Experience in Data Cleansing/Transformation, Performance Tuning.
Experience in leveraging Apache Atlas for data governance.
Experience in Storm, Kafka, and Flume would be a plus.
Experience in Java and Spring would be a plus.
Experience working on Ab Initio would be a plus.
Hortonworks or Cloudera or MapR Certification would be a plus
Basic knowledge of Big Data administration (Ambari).
Demonstrated experience building strong relationships with senior leaders
Strong leadership and influencing skills
Outstanding written and verbal skills and the ability to influence and motivate teams
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles.Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles.Employees, level 8 or greater, must have at least 24 months’ time in position before they can post.All internal employees must have at least a “consistently meets expectations” performance rating and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance requirement).
Legal authorization to work in the U.S. is required.We will not sponsor individuals for employment visas, now or in the future, for this job opening.
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