We are seeking a highly technical and experienced Senior Big data Platform Architect to lead next-generation big data platform architecture to support enterprise big data analytical platforms for various business units across the organization.
Qualified candidates must be well-versed in building Big data analytical platforms using Containerization and Cloud technologies and 'Big Data' parallel processing technologies as well as the advantages, disadvantages and trade-offs of various architecture approaches. In addition, the successful candidate should have knowledge and experience with data management techniques such as Master Data Management (MDM), Data Quality (DQ) management, metadata management, text analytics and mining, in-memory processing, data profiling, micro-batch.
This is a very technical and challenging position with accountability for an overall product portfolio's performance and quality, and is also a leadership position requiring the ability to motivate, mentor and work effectively with other functional organizations.
Work with the LOB business leaders, CTO Leaders, application managers, Enterprise Data Architecture, Information Security and LOB Architects to develop and maintain current and future state architecture for Data Analytics Platforms.
Serve as the highest-level technical consultant to internal clients and technical management to ensure conformity with Enterprise Data Architecture
Communicate architectural decisions, plans, goals and strategies.
Maintain in-depth knowledge of the organization's technologies and architectures.
Maintain in-depth knowledge of IT industry best practices, technologies, architectures and emerging technologies as it relates to data management and use.
Initiate and deliver technology evaluations and recommendations especially in Big Data space.
Design and help develop ETL, replication schemes, and query optimization techniques that support highly-varied (structured, semi-structured, and unstructured) and high-velocity (near real-time) data processing and delivery
Ensure the data architecture is optimized for large dataset acquisition, analysis, storage, cleansing, transformation and reclamation
Develop standards and methodologies for benchmarking, performance, evaluation, testing, data security and data privacy
Recommend and set goals for unified data management practices such as meta-data management, provenance management, governance, stewardship, data quality and lifecycle management
Perform impact analysis, performance tuning, capacity planning for the enterprise data warehouse and its infrastructure as source systems are added and new integration business rules and logic are introduced
Establish and enforce policies, procedures, standards, methodologies, and metrics for data quality, metadata management, and master data management
Provide recommendations, technical direction and leadership for Hadoop and NoSQL technologies as part of the overall architecture
Participate in regular status meetings to track progress, resolve issues, mitigate risks and escalate concerns in a timely manner
Contribute to the development, review, and maintenance of requirements documents, technical design documents and functional specifications
Working knowledge of application and system availability, scalability and distributed data platforms
Excellent communication skills, particularly those relating to complex findings and presenting them to ensure audience appeal at various levels of the organization
Ability to integrate research and best practices into problem avoidance and continuous improvement
Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results
Be able to demonstrate analytical and problem solving skills
Strong leadership presence. Can-do attitude. Positive and proactive leadership style.
Minimum 10 years of related Java and database development experience, including at least six years of experience as a Data Architect working with 'Big Data' technologies such as Hadoop, AWS, Kubernetes, OpenShift , NoSQL, BigTable, and HBase and large data sets.
Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads.
Must have good knowledge and experience with Cloud and containerization technologies : AWS, Azure, Kubernetes , ESX and Dockers
Enterprise Role Overview
Posting Date: 03/14/2019
Location: Jersey City, NJ, 101 HUDSON ST (NJ2101), Charlotte, NC, GATEWAY VILLAGE, 900 W TRADE ST, Addison, TX, BUILDING I, 16001 N DALLAS PKWY, - United States
Travel: Yes, 5% of the time
Full / Part-time: Full time
Hours Per Week: 40
Shift: 1st shift
Bank Of America Corporation