Senior Integrations Engineer
Read straight from NTT DATA, Europe & LATAM, Branch in USA, Inc.'s careers page, verified 2d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationLATAM (Remote), LATAM
Work moderemote
Typecontract
SenioritySenior
DepartmentPublic Sector
Company size10,000+ people
PostedJul 1, 2026 · 4mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion
Build and optimize ingestion and ELT into the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns
Migrate PowerCenter workloads to IDMC using structured methodology and internal accelerators
Operate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards
Apply CLAIRE GPT/Copilot to optimize the mapping development cycle and reduce delivery time
Informatica IDMC · Integration Core: Cloud Data Integration (CDI), Cloud Mass Ingestion (CMI), Cloud Application Integration (CAI), PowerCenter to IDMC migration, Platform operations
Databricks Integration: IDMC for Databricks, Delta Lake load patterns, SQL ELT pushdown, Unity Catalog awareness
AI-Assisted Development: CLAIRE GPT / CLAIRE Copilot
Platform FinOps: understanding of IPU consumption model and per-service cost optimization
Cloud-Agnostic: Azure (ADF, Data Lake Storage Gen2, Key Vault, Azure Databricks), AWS (Glue, S3, Step Functions, Redshift, Athena, EventBridge)
IaC & CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins
Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL)
Informatica Cloud Data Integration Developer, Professional Certification (ICP) – core to the role
NoSQL (MongoDB, DynamoDB) – desirable
GCP (BigQuery, Cloud Composer) – desirable
Informatica Cloud Application Integration Developer, Professional Certification – desirable
Informatica IDMC Foundation / Data Engineering Foundation – desirable
Databricks Certified Data Engineer Associate – desirable
Microsoft Certified: Azure Data Engineer Associate (DP-203) – complementary
AWS Certified Data Engineer / Data Analytics Specialty – complementary
Working EST hours
NTT Data is an Equal Opportunity Employer
Skills
Informatica IDMC
Cloud Data Integration (CDI)
Cloud Mass Ingestion (CMI)
Cloud Application Integration (CAI)
PowerCenter
Databricks
CLAIRE GPT
CLAIRE Copilot
Azure Data Factory (ADF)
Azure Data Lake Storage Gen2
Azure Key Vault
Azure Databricks
AWS Glue
AWS S3
AWS Step Functions
AWS Redshift
AWS Athena
AWS EventBridge
GCP BigQuery
GCP Cloud Composer
Terraform
CloudFormation
GitHub
Bitbucket
Jenkins
SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL)
MongoDB
DynamoDB
About the role
Job Title: Senior Integrations EngineerLocation Preference: 100% remote in LATAM with preference in Chile working EST Time Zone
Duration: 1-Year Assignment with possibility of extension
Freelance Rate Range: $22-45/hr USD based on relevant experience
About the company
NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.
Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.
Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client’s needs. Our talent has led us to be one of the top six technology companies in the world.
Because #Greattech, needs #GreatPeople, like you
NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking fora Senior Integrations Engineer to work with our global client for a fully remote opportunity in LATAM working EST hours.
Position Summary
Data integration engineer specialized in designing, developing, and operating enterprise data pipelines on ETL tools; Informatica IDMC (Intelligent Data Management Cloud / IICS) as the primary platform, with strong capabilities in feeding the Databricks Lakehouse. Able to work across cloud-agnostic environments (Azure, AWS, GCP) and to apply AI-assisted development with CLAIRE GPT and CLAIRE Copilot to accelerate the build cycle and reduce time-to-delivery.
Key Responsibilities
•
Design and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.
•
Build and optimize ingestion and ELT into the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns.
•
Migrate PowerCenter workloads to IDMC using structured methodology and internal accelerators.
•
Operate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards.
•
Apply CLAIRE GPT/Copilot to optimize the mapping development cycle and reduce delivery time.
Requirements
Technical Skills:
•
Informatica IDMC · Integration Core
•
Cloud Data Integration (CDI): Mapping Designer, SQL ELT with pushdown optimization (full/source/target), Taskflows, mapping partitioning, Dynamic Mappings, parameterization, file listeners, intelligent structure models (CLAIRE-powered), and performance tuning.
•
Cloud Mass Ingestion (CMI): batch and near-real-time ingestion from heterogeneous sources across its variants: Mass Ingestion Databases (CDC), Files, Applications, and Streaming.
•
Cloud Application Integration (CAI): Process Designer, service connectors, guides, and business processes; API and microservices integration.
•
PowerCenter to IDMC: migration and modernization of on-premises pipelines using structured methodology, CDI-PC, and migration accelerators.
•
Platform operations: administration of Secure Agents and runtime environments (Secure Agent Groups), monitoring, and SLA management.
Databricks Integration
•
IDMC for Databricks: ingestion and ELT into the Databricks Lakehouse with CDI and Cloud Mass Ingestion, Delta Lake load patterns, and SQL ELT pushdown to Databricks SQL.
•
Connectivity through the Databricks connector (Partner Connect), Unity Catalog awareness, and parameterized job orchestration.
AI-Assisted Development (CLAIRE)
•
CLAIRE GPT / CLAIRE Copilot: assisted generation of mappings, debugging of transformations, and automatic pipeline documentation through natural language within IDMC.
•
Awareness of the new agentic capabilities (CLAIRE Agents, Fall 2025 release) for headless ingestion and transformation flows.
Platform FinOps
•
Understanding of the IPU (Informatica Processing Units) consumption model and per-service cost optimization.
Cloud-Agnostic (Complementary)
•
Azure: Azure Data Factory (ADF), Data Lake Storage Gen2, Key Vault, Azure Databricks.
•
AWS: Glue, S3, Step Functions, Redshift, Athena, EventBridge.
•
GCP (desirable): BigQuery, Cloud Composer.
•
IaC & CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins.
Databases & Platforms
•
Advanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL).
•
NoSQL (MongoDB, DynamoDB; desirable).
•
Data Warehouse, Data Lake, and Lakehouse architecture patterns.
Certifications:
•
Informatica Cloud Data Integration Developer, Professional Certification (ICP) (core to the role).
•
Informatica Cloud Application Integration Developer, Professional Certification (desirable).
•
Informatica IDMC Foundation / Data Engineering Foundation.
•
Databricks Certified Data Engineer Associate (desirable).
•
Microsoft Certified: Azure Data Engineer Associate (DP-203) (complementary).
•
AWS Certified Data Engineer / Data Analytics Specialty (complementary).
Why NTT Data?
Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.
Legal
NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.
More roles at NTT DATA, Europe & LATAM, Branch in USA, Inc.