Enterprise Data Architect

Depends on Experience

Full Time

  • 50% Travel


CloudArchitectdata Architectbigdata

Job Description

ClifyX group is an award winning IT Consultancy formed in 1998. Our Mission is to provide our clients with Optimal Technology solutions that are effective and within budgets. We specialize in helping Organizations to review their strategic SOW Projects/Talent needs and implement high value and cost effective solutions to increase profitability and efficiency. Our consulting capabilities include expertise in Cloud, Artificial Intelligence, Data Analytics and compliance aspects of Cyber Security development.

Work With Us : What makes working at ClifyX so great? We give tons of flexibilty, listen to you, give opportunity to work in different technologies, give feedback on your profile and present you to global fortune companies.

Title: Enterprise Data Architect Location: New York/ New Jersey (Partial Travel) Position: Fulltime
Job Description
Hands on Enterprise Data Architect with implementation experience in Public Cloud (AWS. Azure).

Hands on with implementation experience knowledge in Big Data and Distributed Processing Platforms like Cloudera, Spark, Kafka, Hadoop, Hive, Snowflake etc.

Assessment of current state data maturity of an enterprise and define future roadmap

In-depth Knowledge of Data Governance techniques viz. Data Quality, Metadata Management, MDM, Data Security, Information Lifecycle Management.

Lead large data strategy and Next Gen Data Platform implementation engagements during the initial definition phase and lead it to a steady state.

Solution, Technology, Deployment Architecture definition for Next Generation Data Platforms & Data Lakes.

Responsible for evaluating the business integration needs and architecting appropriate solutions encompassing Cloud adoption, Distributed data architecture (within and outside the Hadoop ecosystem), ESB, BPM, SOA and OSS solutions

Lead proposal responses and own solution, estimations and implementation approaches.

Participate in discussions with C-Level executives and articulate Client capabilities, differentiators, solution approaches etc.

Drive PoCs and PoTs in the Data & Analytics space which can be presented as accelerators & frameworks.

Define Assessment, Migration Strategy for movement of on-Premise Data Platforms to Cloud.

Experience in Big Data technologies like Hadoop, Hive, Spark , Impala , PrestoDB, Kafka, Cassandra.

Cloud Technologies like AWS S3, AWS EMR , Glue, Lambda, Redshift , Snowflake , Azure Datalake Store, Azure Databricks, Azure SQL ,Synapse, CosmosDB. Deep knowledge in any of these technologies is a must.

Responsibilities:  Click here to enter text.

You will be part of the Data & Analytics team and will play the role of an Enterprise Data Architect responsible for leading discussions on data strategy definition with C-Level Executives.

For Large Data Strategy or Next Gen Data Platform implementation engagements, you will be responsible for owning delivery for the initial phase and lead it to a steady state.

Define Assessment & Migration strategy for On-Premise Data Platform to public Cloud.

Constantly engage with account teams and customers to understand the existing challenges in their

Data Platforms and come up with reusable solutions which can be cross-sold to other accounts/customers.

Come up with innovative Data Product ideas which can be implemented as a POT and taken to various customers.

Will be responsible to define Data Governance processes and will be able to Solutions on Data Quality, Data Lineage, Meta-Data Management, Master Data Management etc.

Qualifications: (Please list all required qualifications)  Click here to enter text.


-              Master’s degree in quantitative areas like Computer Science or related

-              Experience working for Big 4 consulting firms or Consulting firms specializing in Data Analytics

-              Certifications (Data Analytics Specialty, Machine Learning Specialty, SnowPro Advanced Architect, Databricks Hadoop Migration Architect, Azure…)

-              TOGAF

-              BFSI Domain Experience is Required (4-5 Years).

-              Extensive experience defining data strategy, data governance frameworks, and data transformation initiatives for BFSI organizations

-              Post-merge integration work for technology and data landscape at Fortune 500 companies

We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.