Specialist - Architecture

Role Description

Mandatory Skills

GCP BigQuery Kafka Dataflow Apache Spark Data Spark Vertex AI Cloud Storage

Adobe Analytics Python Java Nodejs

Experience

Senior Data Engineer Platform ML Analytics 79 years in data engineering or ML data engineering

Data Engineer II ML Training MultiSource Integration 57 years in data or ML data engineering

Job Description

Required Qualifications

79 years of handson data engineering or ML data engineering experience in a production GCP environment

Strong proficiency in Python Java or Nodejs for pipeline development feature engineering scripts and automation

Strong handson experience with BigQuery partitioning clustering cost management complex SQL MLoptimized

table design

Proficiency with Apache Kafka for realtime streaming ingestion

Experience with Dataflow Apache Beam for both streaming and batch pipelines

Proficiency with Apache Spark PySpark or Scala DataSpark experience a strong plus

Solid familiarity with GCP ecosystem Cloud Storage PubSub Dataproc Cloud ComposerAirflow

Experience building ML training pipelines and Feature Stores GCP Feature Store preferred understanding of the ML

lifecycle including feature engineering data versioning and traineval splits

Experience with Vertex AI Pipelines or similar MLOps tooling

Demonstrated experience designing disaster recovery zones and failover strategies for cloud data platforms

crossregion replication RTORPO definition and DR testing

Experience with data archival design BigQuery table lifecycle management Cloud Storage tiered storage policies and

longterm retention for regulated datasets

Handson experience handling PHI under HIPAA fieldlevel encryption and masking deidentification techniques audit

logging access control policies and HIPAA Security Rule compliance for data at rest and in transit

Strong SQL and data modeling skills experience with layered data lake or lakehouse architecture

Nice to Have

Experience integrating Adobe Analytics data streams or Adobe Experience Platform

Familiarity with Looker or Vertex AI as downstream consumers

Knowledge of ClickThru file formats and external table patterns in BigQuery

Experience with GCP CMEK CustomerManaged Encryption Keys for PHI dataset protection

Familiarity with HIPAA BAA requirements in cloud vendor agreements

CVS Digital AI Insight NBA Engine Data Layer Job Descriptions

For Recruitment Use Only Not for Distribution Page 4

Familiarity with NIST or HITRUST frameworks as applied to ML data pipelines

Background in healthcare data Rx clinical or benefits domain

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, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid 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.