Data Architect

Opeka Serve; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Opeka Serve is seeking a Sr. Solution Architect for Hyderabad. The role requires deep expertise in data platforms, cloud data engineering, and architecture leadership across large programs. Strong Python/SQL skills and enterprise stakeholder engagement are essential.

You will design scalable data solutions, guide teams, and collaborate with customers on modernization initiatives in a hybrid work setup in Hyderabad.

Qualifications

• 15+ years of experience in data engineering/architecture related areas.
• 4+ years in senior architecture roles (Architect/Lead Architect).
• Experience delivering enterprise-scale data platforms and cloud data engineering solutions.
• Strong hands-on Python and SQL expertise.
• Demonstrated leadership across multiple projects and stakeholders.

Responsibilities

• Lead design and delivery of enterprise-scale data platforms.
• Guidance across multiple projects and teams on data architecture.
• Collaborate with enterprise customers and senior tech stakeholders.

Skills

Data engineering

Data architecture

Cloud data platforms

Analytics

Senior architect

Python

SQL

Architecture leadership

Tools

Snowflake

Databricks

Microsoft Fabric

Google BigQuery

Amazon Redshift

Azure Synapse

PostgreSQL

SQL Server

Snowflake

Snowflake

Apache Spark

Snowpark

ETL/ELT

Batch Processing

Real-Time Data Processing

Data Ingestion

Data Integration

CDC

Apache Kafka

Debezium

Airflow

Dagster

dbt

Delta Live Tables

Azure Data Factory

AWS Glue

Fivetran

Airbyte

Informatica

MuleSoft

Matillion

Collibra

Alation

Microsoft Purview

Great Expectations

Monte Carlo

Data Quality

Data Lineage

Metadata Management

Data Classification

Job description

Role- Sr. Solution Architect

• Exp - 12 to 20 Years
• Shift Timings: 3:00 PM 12:00 AM (IST)
• Job Location – Hyderabad (3 days Work from Office, Hybrid)
• Mode of Hiring – FTE/Permanent
• Notice Period – ONLY Immediate Joiners

REQUIRED QUALIFICATIONS

• 15+ years of experience in Data Engineering, Data Architecture, Cloud Data Platforms, Analytics or related technology areas.
• 4+years ot experience in a Data Architect, principal Architect, Enterprise Architect, Lead Architect or similar senior architecture role.
• Proven experience designing and delivering enterprise-scale data platforms and cloud data engineering solutions.
• Strong hands-on expertise in Python and SQL.
• Deep understanding of data architecture, data engineering, distributed data procnssing, data modeling, ETLIELT, data integration, data governance and cloud data platforms Experience leading large-scale cloud data modernization or migration programs. Strong experience working with enterprise customers and senior technology stakeholders. Ability to lead technical teams and provide architecture-level guidance across multiple projects.

TECHNICAL EXPERTISE

Data Platforms & Warehouses CORE

• Snowflake, Databricks, Microsoft Fabric, GcMe BigQuery, Amazon Redshift, Azure Synapse, PostgreSQL, SQL server

• Deep expertise in Snowflake and/or Databricks is highly preferred.

Data Engineering -

• Python, SQL, Apache Spark, Snowpark, ETIJELT, Batch Processing, Real-Time Data Processing, Data Ingestion, Data Integration, CDC, Apache Kafka, Debezium, Airflow, Dagster, dbt, Delta Live Tables, Azure Data Factory, AWS Glue

Data Integration - GOOD TO HAVE

• Fivetran, Airbyte, Informatica, MuleSoft, MatilUon

Data Governance, Catalog & Quality

• Snowflake Horizon, Databncks Unity Catalog, Collibra, Alation, Microsoft Purview, Great Expectations, Monte Carlo, Data Quality, Data Lineage, Metadata Management, Data Classification,