Cloud Database Architect

LTM; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering

Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation Time & Holidays

Paid Paternity & Maternity Leave

Job summary

LTIMindtree in the United States seeks a Data Engineer / Database Cloud Architect to design scalable, secure data solutions across AWS, GCP and Oracle, supporting AI/ML initiatives.

You will lead database modernization, cloud migrations, optimize performance, implement security and governance, and mentor teams while collaborating with data scientists and developers.

Qualifications

• Strong experience designing data engineering and database architectures.
• Hands-on PostgreSQL and Oracle database expertise.
• Strong SQL, data modeling, query tuning and performance optimization.
• Proficiency in Python for automation and data processing.
• Experience with AWS and/or GCP cloud platforms.

Responsibilities

• Design enterprise database architectures, standards, and best practices.
• Build scalable data platforms, pipelines, and cloud-native database solutions.
• Lead database modernization and cloud migration initiatives.
• Optimize database performance, availability, resiliency, and disaster recovery.
• Define database security, governance, and compliance standards.
• Collaborate with architects, developers, cloud engineers, and data scientists.
• Develop automation and data processing solutions using Python.
• Support AI/ML and GenAI use cases, including vector databases and RAG architectures.
• Create architecture documentation, technical standards, and solution designs.
• Mentor teams and provide technical leadership on database and cloud technologies.

Skills

PostgreSQL

Oracle Database

SQL & data modeling

Python scripting

Cloud platforms (AWS/GCP)

Tools

Terraform

CI/CD

Job description

Role Summary

We are looking for a

Role Description

Role Summary

We are looking for a Data Engineer / Database Cloud Architect with expertise in databases, cloud platforms, and data architecture. The ideal candidate will design scalable, secure, and high-performing data solutions across AWS, GCP, and Oracle environments while supporting AI/ML and Generative AI initiatives.

Key Responsibilities

• Design enterprise database architectures, standards, and best practices.
• Build scalable data platforms, pipelines, and cloud-native database solutions.
• Lead database modernization and cloud migration initiatives.
• Optimize database performance, availability, resiliency, and disaster recovery.
• Define database security, governance, and compliance standards.
• Collaborate with architects, developers, cloud engineers, and data scientists.
• Develop automation and data processing solutions using Python.
• Support AI/ML and GenAI use cases, including vector databases and RAG architectures.
• Create architecture documentation, technical standards, and solution designs.
• Mentor teams and provide technical leadership on database and cloud technologies.

Must-Have Skills

• Strong experience in Data Engineering and Database Architecture.
• Hands-on expertise with PostgreSQL (primary requirement).
• Experience with Oracle Database.
• Strong SQL, data modeling, query tuning, indexing, and performance optimization.
• Experience with cloud platforms: AWS and/or GCP.
• Database migration and modernization experience.
• Python scripting for automation and data processing.
• Knowledge of high availability, replication, backup/recovery, and disaster recovery.
• Experience designing scalable cloud-native database solutions.
• Strong understanding of application and database integration architecture.

Good-to-Have Skills

• Couchbase, MongoDB, MySQL, SQL Server.
• AI/ML and Generative AI exposure.
• Vector Databases, Embeddings, Semantic Search, RAG (Retrieval-Augmented Generation).
• Database observability and monitoring tools.
• Infrastructure as Code (Terraform) and CI/CD practices.
• Data governance, compliance, privacy, and security frameworks.
• Experience with cloud AI services and AI platforms.
• Experience supporting large-scale, high-volume enterprise systems.

Preferred Candidate Profile

• 8+ years in Database Engineering, Data Engineering, or Database Architecture.
• Strong PostgreSQL and Oracle expertise.
• Experience across AWS and/or GCP cloud environments.
• Proficient in Python and modern data engineering practices.
• Familiarity with AI-enabled data architectures and GenAI technologies.

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”).

Benefits And Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.