Req ID: 387106
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Software Development Specialist Advisor to join our team in GDL, Jalisco (MX-JAL), Mexico (MX).
ROLE SUMMARY
Technical leadership profile covering the full spectrum of a modern data platform: data engineering with Informatica IDMC and the enablement of analytical and agentic capabilities. Acts as the team’s technical reference, ensures alignment between engineering and governance. Proven experience in financial or highly regulated environments.
REQUIRED TECHNICAL SKILLS
Informatica IDMC · Full Stack
- Cloud Data Integration (CDI): mapping and mapping-task design, taskflow orchestration, pushdown optimization, parameterization and reusable assets, hierarchical and complex-file processing, performance tuning, and promotion across Dev/QA/Prod orgs.
- Cloud Mass Ingestion (CMI): database, file, application, and streaming ingestion; initial load plus incremental CDC over Oracle, Redshift and SQL; schema-drift handling; and delivery to Amazon S3.
- Cloud Application Integration (CAI): process and service-connector design, REST/SOAP API exposure, and event-driven orchestration for near-real-time integration.
- Cloud Data Quality (CDQ): profiling, rule specifications, scorecards, and remediation embedded in the ingestion and delivery pipelines.
- IDMC administration: Secure Agent sizing and runtime environment groups, connection and asset management, RBAC, license/IPU consumption monitoring, Operational Insights, and upgrade planning.
- AI-accelerated development (desirable): use of AI coding assistants to speed up discovery, profiling, and mapping/SQL and pipeline generation, with AI-generated assets reviewed against naming, reusability, and performance standards under code-review and CI/CD guardrails.
Lakehouse and Serving Layer
- Experience in developing Medallion architecture: design and development of Bronze / Silver / Gold layers raw landing, conformed and deduplicated Silver models with data-quality expectations, and Gold Data Products.
- Semantic layer for BI consumption: governed semantic models over the Gold layer— star-schema and conformed-dimension modelling, business metric and KPI definitions, and publication of certified datasets to Power BI .
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Desirable Technology
- AWS: Glue, S3, Redshift, Step Functions, Athena, Lake Formation, SageMaker, Bedrock.
- IaC: Terraform + CloudFormation.
Advanced Data Engineering
- Orchestration: AWS Step Functions
Technical Leadership
- Definition of reference architectures for enterprise data platforms.
- Mentoring of data engineering teams (5+ people).
- Technical estimation, proposal review, and management of technical stakeholders.
KEY RESPONSIBILITIES
- Lead and organize a team of 9 engineers (data integration developers and IDMC administrators) delivering analytics data integrations with Informatica Cloud Data Integration and Cloud Mass Ingestion, extracting data from heterogeneous source systems and technologies.
- Provides seamless ingestion, transformation, and delivery of data from diverse source systems into the Enterprise Data Warehouse in Amazon Redshift and the Data Marketplace in Denodo.
- Act as delivery lead covering best practices in Informatica for the data integration scope: service levels, staffing and capacity, delivery governance, reporting, and escalation with the client.
- Lead the development and availability of data products end to end — source discovery, ingestion, curated models in Redshift, and publication as governed views and marketplace assets in Denodo for consumer teams.
- Own maintenance and support of the integration platform: incident resolution within agreed SLAs (L2/L3), root-cause analysis, problem and change management, monitoring and alerting, and a continuous-improvement backlog.
- Define technical standards, development patterns, and best practices for the team.
- Guide the Development of data pipelines using the following AWS cloud services: AWS Glue, S3, Step Functions, Athena, and Secret Manager, to extract data from different source systems and technologies.
- Define and apply methodologies and best practices for ETL migration (workload assessment, lift-and-shift vs. re-engineering strategy, mapping inventory and prioritization, conversion, validation and parallel run, cutover and rollback) in modernization projects.
CERTIFICATIONS
- (Desirable) Informatica Cloud Data Integration Developer, Professional Certification (ICP).
- Informatica IDMC Foundation + CDGC Foundation + IDMC for Databricks Foundation.
- (Desirable) Informatica Cloud Data Governance and Catalog, Professional Certification (ICP).
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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