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Associate Principal - Architecture

LTM

Location

Torrance, CA

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Role description

AWS data architect

Location Torrance CA onsite

Key Responsibilities

Architecture Strategy

Define endtoend AWS data architecture covering ingestion storage processing analytics and consumption layers

Translate business and regulatory requirements into scalable secure and costoptimized architectures

Own reference architectures design standards and best practices for AWS data platforms

Drive cloud modernization data lakehouse and analytics transformation initiatives

AWS Data Platform Design

Architect solutions using AWS S3 Glue EMR Redshift Athena Lake Formation Kinesis Lambda MWAA Airflow

Design batch and realtime data pipelines with high availability and fault tolerance

Define data modeling strategies for data lakes warehouses and analytical marts

Optimize performance scalability and cost using AWSnative design patterns

Data Governance Security Compliance

Define and enforce data governance lineage cataloging and quality standards

Design data security controls IAM KMS Lake Formation encryption masking

Ensure compliance with enterprise and client data policies PII GDPR SOX etc

Stakeholder Client Leadership

Act as primary architecture advisor to senior business and IT stakeholders

Lead architecture discussions with clients during RFPs SOWs and solution workshops

Provide technical leadership during demand validation hiring panels and solution signoffs

Delivery Oversight Mentorship

Review and approve architecture designs code patterns and deployment approaches

Mentor P4P5 architects data engineers and tech leads

Collaborate with DevOps teams on IaC CICD and cloud automation

Mandatory Skills

AWS Data Architecture Expert level

AWS services S3 Glue EMR Redshift Athena Lake Formation Kinesis Lambda

Data modeling for Data Lakes Data Warehouses and Analytics Platforms

Strong understanding of cloud security IAM encryption and governance

Experience with largescale enterprise data platforms

Stakeholder management and clientfacing architecture leadership

Good to Have

Snowflake Databricks on AWS

Streaming platforms Kafka MSK

BI Analytics tools QuickSight Power BI Tableau

Experience in automotive manufacturing or large enterprise clients

AWS certifications Solutions Architect Professional Data Analytics Specialty

Other details

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.

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