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Data Architect


Anblicks


Location

Hyderabad | India


Job description

Job Description: Job Designation / Role : Data Architect Location : Ahmedabad, Hyderabad

Early Joiners Preferred

Role Objective: We are seeking a talented

Data Architect

to join our team. As a member of our Data and AI services organization, you will work with our clients to understand their

business needs and develop innovative data and AI solutions

to address those needs. You will be responsible for

designing and implementing data architectures, data models , and data integration processes using the latest technologies,

including Snowflake, Databricks, Spark, Hadoop, and other big data tools.

Skills & Experience Required: •

Over 12+ years of experience in Data & BI technologies

and program with excellent leadership and communication skills • Retail or CPG experience is a big plus • Should have

led and executed complex programs on Data

in both on-prem and cloud environments ( Azure cloud is mandatory ) • Lead the engagement to

formulate the Data Strategy & Architecture

for client • Should have strong working

experience on Data Lakehouse architecture • Should have in depth knowledge on

different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events • Should have handled

governance at CXO level and engaged with multiple stakeholders at VP+

level • Understand business & technology goals from client and

create roadmap with different features

and capabilities to achieve these goals • Understand data platform/application objectives,

arch, key business process, data domains, tech stack, data pipelines, dashboards & KPIs, upstream

and downstream dependencies, challenges, pain points, security and future aspirations • Work with stakeholders to collect inventory of applications and perform application discovery working alongside program and client team members •

Setup governance for this program

and engage with client leadership to tie stakeholder feedback into the workshops • Perform discovery with tech and business stakeholders to understand and align on application complexity, criticality, prioritization, risks, dependencies, integration points and consumption patterns • Conduct discovery sessions and workshops to understand current landscape, evaluate alternate data architectures and recommend/finalize Data Strategy (including MDM or Data Governance)


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