Data Architect - Enterprise Data

Optisol Business Solutions

8 - 13 years

15 - 19 Lacs

chennai

Posted:8 hours ago| Platform:

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Skills Required

computer science performance tuning automation metadata data modeling rdbms healthcare data quality informatica sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role

As a Data Architect, you will:

Design scalable data models, warehouses, lakes, and lakehouse solutions.
Build data pipelines to support advanced analytics, reporting, and predictive insights.
Integrate GenAI frameworks to enhance data generation, automation, and summarization.
Define and enforce enterprise-wide data governance, standards, and security practices.
Drive data modernization initiatives, including cloud migrations.
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals.
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting.
Mentor teams on best practices in data and AI adoption.

What We Like to See in You

Strong background in RDBMS design, data modeling, and schema optimization.
Advanced SQL skills, including performance tuning and analytics functions.
Proven expertise in data warehouses, data lakes, and lakehouse architectures.
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue).
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI).
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark).
Strong communication skills with the ability to present data insights to executives.

Preferred Qualifications

8+ years in data architecture, enterprise data strategy, or modernization programs.Hands-on with AI-driven analytics and GenAI adoption.
Knowledge of enterprise frameworks (TOGAF, DAMA-DMBO
Domain experience in financial, healthcare, or other enterprise verticals.
A Bachelors or Masters degree in Computer Science, Data Engineering, or related field.
What Youll Bring to the Table
Deep understanding of data governance, metadata, and enterprise data quality.
Familiarity with AI/ML model pipelines and data science platforms.
A collaborative mindset and proven ability to align technical designs with business needs.
Strong problem-solving, adaptability, and leadership skills.

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