Quantiphi

Associate Technical Architect - Data (Oracle)

IN KA Bengaluru

Open 6 months, first seen by us 180 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Lead end-to-end Oracle migration from on-prem and Exadata to AWS (RDS, EC2, Aurora)
Ensure transaction continuity, CDC replication, and minimal-downtime cutovers
Tune Oracle performance, indexing, and queries before migration
Design schema conversion and validation (Oracle to PostgreSQL/MySQL)
Build and optimize data pipelines with AWS Glue, PySpark, or EMR

From the employer’s posting

Lead end-to-end Oracle database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.

Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.

Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.

Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).

Build and optimize data pipelines using AWS Glue, PySpark, or EMR

What you’ll bring

All qualifications

Core experience

7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
Experience with Aurora Global Database and cross-region replication.
Experience with Oracle Data Integrator (ODI) and legacy ETL workflows.
Familiarity with Oracle GoldenGate for real-time replication.
Proven expertise in Oracle performance tuning, partitioning, indexing, and transaction management.
Knowledge of Data Mesh architecture and cross-account data sharing in AWS.

Preferred experience

Data Pump, RMAN, GoldenGate - preferred

Qualification wording

7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).

Experience with Aurora Global Database and cross-region replication.

Experience with Oracle Data Integrator (ODI) and legacy ETL workflows.

Familiarity with Oracle GoldenGate for real-time replication.

Proven expertise in Oracle performance tuning, partitioning, indexing, and transaction management.

Knowledge of Data Mesh architecture and cross-account data sharing in AWS.

Experience with Oracle migration tools (Data Pump, RMAN, GoldenGate - preferred).

Apply at Quantiphi

Posting record

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Open 6 monthsWe first saw this posting 180 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 8, 2026180 days ago
Recorded sightings: 228
Last seen by us: Nov 4, 2026
Employer says posted: Apr 19, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 180

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Quantiphi is hiring

30 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is steady
Takes jobs down at a usual pace
3% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
MySQL
Oracle
PostgreSQL
Redshift
S3
Spark
SQL Server
Terraform
PySpark

Where the posting names them

- Strong experience with S3-based data lakes and Glue Data Catalog. - Strong SQL, Python/Pyspark, and shell scripting. Nice to Have:

Skills: - 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL). - Strong hands-on experience with Oracle databases, including Exadata environments.

- Experience with Oracle migration tools (Data Pump, RMAN, GoldenGate - preferred). - Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora). - Hands-on with AWS DMS and SCT for full load and CDC replication.

Description: - Candidate with strong Oracle expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/Tools like Oracle Exadata and Oracle Data Integrator (ODI). - The ideal candidate combines deep experience in Oracle database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

- Candidate with strong Oracle expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/Tools like Oracle Exadata and Oracle Data Integrator (ODI). - The ideal candidate combines deep experience in Oracle database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration. Key Responsibilities

Key Responsibilities - Lead end-to-end Oracle database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments. - Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.

- Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable). - Leverage AWS DMS and SCT for full load and continuous replication migrations. - Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).

- Leverage AWS DMS and SCT for full load and continuous replication migrations. - Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR). - Design and implement secure, highly available database architectures on AWS.

- Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR). - Design and implement secure, highly available database architectures on AWS. - Build and optimize data pipelines using AWS Glue, PySpark, or EMR

- Design and implement secure, highly available database architectures on AWS. - Build and optimize data pipelines using AWS Glue, PySpark, or EMR - Manage S3-based data lakes and metadata using Glue Data Catalog.

- Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora). - Hands-on with AWS DMS and SCT for full load and CDC replication. - Strong experience in database administration (HA, DR, backup/restore, schema conversion).

- Strong experience in database administration (HA, DR, backup/restore, schema conversion). - Experience building pipelines using AWS Glue, PySpark, or Spark on EMR. - Strong experience with S3-based data lakes and Glue Data Catalog.

- Familiarity with Oracle GoldenGate for real-time replication. - Knowledge of Data Mesh architecture and cross-account data sharing in AWS. - Experience with Redshift, Lake Formation, and modern data warehousing.

- Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins). - AWS certifications (Solutions Architect Associate / Data Engineer Associate). - Experience mentoring teams and driving knowledge transfer sessions.

- Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration. - Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable). - Leverage AWS DMS and SCT for full load and continuous replication migrations.

- Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers. - Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration. - Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).

- 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL). - Strong hands-on experience with Oracle databases, including Exadata environments. - Experience with Oracle Data Integrator (ODI) and legacy ETL workflows.

- Strong hands-on experience with Oracle databases, including Exadata environments. - Experience with Oracle Data Integrator (ODI) and legacy ETL workflows. - Proven expertise in Oracle performance tuning, partitioning, indexing, and transaction management.

- Proven expertise in Oracle performance tuning, partitioning, indexing, and transaction management. - Experience with Oracle migration tools (Data Pump, RMAN, GoldenGate - preferred). - Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).

- Knowledge of Data Mesh architecture and cross-account data sharing in AWS. - Experience with Redshift, Lake Formation, and modern data warehousing. - Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).

- Build and optimize data pipelines using AWS Glue, PySpark, or EMR - Manage S3-based data lakes and metadata using Glue Data Catalog. - Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.

- Experience building pipelines using AWS Glue, PySpark, or Spark on EMR. - Strong experience with S3-based data lakes and Glue Data Catalog. - Strong SQL, Python/Pyspark, and shell scripting.

- Experience mentoring teams and driving knowledge transfer sessions. - Experience with Infrastructure as Code (Terraform / CloudFormation). What is in it for you:

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Associate Architect Database Migration & Data Engineering

Experience Level: 6 -14 Years

Location: Bangalore/Mumbai

Description:

Candidate with strong Oracle expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/Tools like Oracle Exadata and Oracle Data Integrator (ODI).
The ideal candidate combines deep experience in Oracle database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

Key Responsibilities

Lead end-to-end Oracle database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
Leverage AWS DMS and SCT for full load and continuous replication migrations.
Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
Design and implement secure, highly available database architectures on AWS.
Build and optimize data pipelines using AWS Glue, PySpark, or EMR
Manage S3-based data lakes and metadata using Glue Data Catalog.
Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
Implement data validation, reconciliation, and rollback mechanisms.
Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).

Skills:

7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
Strong hands-on experience with Oracle databases, including Exadata environments.
Experience with Oracle Data Integrator (ODI) and legacy ETL workflows.
Proven expertise in Oracle performance tuning, partitioning, indexing, and transaction management.
Experience with Oracle migration tools (Data Pump, RMAN, GoldenGate - preferred).
Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
Hands-on with AWS DMS and SCT for full load and CDC replication.
Strong experience in database administration (HA, DR, backup/restore, schema conversion).
Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
Strong experience with S3-based data lakes and Glue Data Catalog.
Strong SQL, Python/Pyspark, and shell scripting.

Nice to Have:

Experience with Aurora Global Database and cross-region replication.
Familiarity with Oracle GoldenGate for real-time replication.
Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
Experience with Redshift, Lake Formation, and modern data warehousing.
Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
AWS certifications (Solutions Architect Associate / Data Engineer Associate).
Experience mentoring teams and driving knowledge transfer sessions.
Experience with Infrastructure as Code (Terraform / CloudFormation).

What is in it for you:

Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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