Data Architect > Location: Cincinnati, OH

Job Description

Data Architect

> Location: Cincinnati, OH (Day1 Onsite)

> Job Type: Contract

> Job Duration:

>

> Job Description:

> Job Purpose:

> Responsible for visualizing and designing enterprise data management

> framework. Analyses the data needs of company and create the data

> roadmap.

> The role demands the deployment of right data architecture to convert

> business need into data and system requirements, align business

> processes with IT systems, and manage the complex flow of data and

> information within the organization

> Work Experience

>

> * Must have worked on Data Lake projects and involved in supporting

> data orchestration activities as part of building and enhancing

> * Experience of architecting data solution across hybrid (cloud, on

> premise) data platforms

> * Exposure to cloud integration/ cloud DWH implementation.

> (Snowflake, Azure Data Factory, Databricks etc.)

> * Deep knowledge and experience of the different database

> technologies - Oracle, SQL Server, PostgreSQL

> * Experience in large-scale Data Migration Projects

> * Experience of ETL & ELT Tools such as Informatica IICS.

> * Experience in Performance Tuning of ETL scripts to reduce the CPU

> time/load timing

> * Experience with DevOps and Monitoring on Azure.

> * Experience of mapping key Enterprise data entities to business

> capabilities and applications

>

> Principal Accountabilities

>

> * Providing technical and data leadership to organization

> * Providing operation guidance to the application development team,

> IT and other functions.

> * Understand the strategic business mission, vision, direction and

> goals

> * Understand the future business capabilities (KPI, metrics, goals)

> etc.

> * Identify current capabilities and areas of pain

> * Identify gaps and areas of opportunity

> * Understand the current data policies and procedure

> * Gather Data via interviews, workshops, focus group discussion

> * Baseline and benchmark best PA and common solutions

> * Bring outside in view on latest tech stack on data management,

> Data Orchestration, DevOps and Source Code Management insight for

> Structural as well as semi / unstructured data ( across on-prem as

> well as on cloud)

> * Prepare framework to review projects to ensure short term and long

> terms data strategy are followed by project delivery teams

> * Build a framework of principles to ensure data integrity across

> the business

> * Identify and evaluate new data management technologies

> * Develop and Integrate technical functionality (e.g. scalability,

> security, performance, data recovery, reliability, etc.)

>

> _If you are qualified, available, interested or planning to make a

> change or know about a friend in your network who might have the

> required qualifications and interest, feel free to contact me ASAP at

>

Skills