Senior Data Architect- Big Data and Data Analytics

Compensation

: $94,330.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Job Description The Sr. Data Architect will be responsible for the architecture and low level design of data science platform & service capabilities by envisioning and executing strategies that will enable and leverage modern data science capabilities. The candidate will lead the implementation of sophisticated analytics programs, machine learning methods to prepare enterprise data for use in predictive/prescriptive modeling. This role is a highly collaborative one; in this position he/she will work closely with other Data and Analytics Teams, inclusive of data analytics, data warehousing, and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques. The leader will be responsible for overseeing the activities of solution architects and build developers, ensuring proper execution of detailed system design to achieve banks overall vision. The ideal candidate will proactively work with business executives and various teams across the company in order to provide advanced analytic data modeling systems. He/she will be responsible for consistently identifying and monitoring key business risks and realizing the data needs of the business. He/she will leverage their advanced programming skills and extensive experience in big data, constructing data pipelines, and distributed systems; they will provide analytics and domain best practice. Skills Required: 7+ years experience leading an architecture or development team in data analytics or data architecture 7+ years experience managing cross functional matrix organizations 7+ years experience developing software in any language (agnostic is best) C++, Java and/or Python 5+ years experience implementing data science platforms (IBM Watson suite of products, Anaconda Enterprise, Dataiku, Domino Labs, C3 AI Suite etc.) Experience working with big data and eco system (e.g. Hadoop eco-system, Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume) Experience with machine learning frameworks (like Keras, Tensorflow, PyTorch) and libraries (like scikit-learn, SpaCy, NLTK, CoreNLP) Minimum 3 years of experience in Natural Language Processing (NLP), Linguistics Experience designing and implementing complex solutions Experienced leader with excellent communication skills Highly skilled in statistical and modeling packages such as SAS, Statistica, Matlab, R, visualization and other advanced analysis tools Expert in data management programming such as SQL, PL-SQL, and Python as well as being familiar win the workings of motion-tracking data and time-series analyses
Associated topics: data administrator, data analyst, data architect, data integration, data quality, data scientist, hbase, mongo database administrator, sql, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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