Data Architect

Position – Data Architect

Experience : 8+ years

Position Overview

We are seeking a

Data Architect

who can understand enterprise data from the ground up and translate it into scalable, reliable, and dynamic designs. The ideal candidate will not only build robust data foundations but also leverage

Generative AI (GenAI)

and advanced

data insights frameworks

to unlock predictive, actionable intelligence for the enterprise.

Key Responsibilities

Analyze and understand

enterprise-wide data sources , including structured and unstructured datasets.

Design and implement

data models and architectures

to support dynamic reporting, advanced analytics, and predictive capabilities.

Architect

scalable data pipelines, warehouses, and lakehouse solutions

with high performance and reliability.

Integrate

GenAI solutions

to generate insights, automate documentation, and enhance data accessibility across the organization.

Define and enforce

data standards, governance, security, and compliance

practices enterprise-wide.

Collaborate with

business stakeholders, data engineers, AI / ML teams, and analysts

to ensure alignment of solutions with business outcomes.

Create systems to deliver

real-time and batch insights , enabling dynamic dashboards, AI-driven recommendations, and predictive reporting.

Drive

data democratization

by making insights consumable for both technical and non-technical teams.

Lead

data modernization efforts , including migration from legacy to modern cloud-native platforms.

Provide

technical leadership and mentorship

on data, AI adoption, and architecture best practices.

Required Skills & Experience

Strong foundation in

RDBMS design, data modeling, and schema optimization .

Advanced skills in

SQL

(performance tuning, complex queries, analytics functions).

Proven experience in

data warehouse, data lake, or lakehouse architectures .

Proficiency in

ETL / ELT frameworks and data integration tools

(Informatica, Talend, dbt, Glue).

Expertise in

cloud data platforms

(AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).

Understanding of

GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)

for data generation, automation, and summarization.

Knowledge of

data governance, metadata, lineage, and enterprise data quality practices .

Experience with

real-time streaming (Kafka, Kinesis, Flink)

and

big data ecosystems (Hadoop, Spark) .

Familiarity with

data science, AI / ML model pipelines , and insight delivery systems.

Strong communication skills to present

data insights and AI-driven recommendations

clearly to executives and business leaders.

Preferred Qualifications

8+ years of experience in

data architecture, enterprise data strategy, or data modernization programs .

Hands-on with

AI-driven analytics and GenAI adoption in enterprise environments .

Knowledge of

enterprise architecture frameworks

(TOGAF, DAMA-DMBOK).

Prior experience in

enterprise applications design with any vertical like financial, healthcare or etc .

Expectation

Design next-generation enterprise data and AI architectures.

Exposure to cutting-edge GenAI platforms to accelerate data insights and innovation.

Working in a collaborative environment where vision drives enterprise data strategies.

Growth in cloud, AI-driven analytics, and predictive insights engineering.