Data Architect

OptiSol Business Solutions

8 years

0 Lacs

chennai tamil nadu india

Posted:21 hours ago| Platform:

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Skills Required

data ai analyze design support reporting analytics reliability automate documentation accessibility governance security ml drive migration leadership architecture tuning etl integration informatica talend aws redshift azure gcp openai vertex automation summarization kafka hadoop model communication strategy togaf healthcare cutting collaborative vision strategies

Work Mode

On-site

Job Type

Full Time

Job Description

Position – Data Architect

Experience: 8+ years

Position Overview

Data Architect

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.

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