Associate Principal - Cloud Engineering

LTM Inc
Irving, TX, United States
2 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$119,230.0 - $166,598.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon S3 Business Analytics Applications BigQuery Bioinformatics Cloud Computing Cloud Engineering Code Review Information Systems Computer Engineering
+38 more
Continuous Integration Data as a Services Data Architecture Information Engineering Data Governance Data Transformation Data Migration Data Security Data Systems Data Vault Modeling Data Warehousing Apache Hive Identity and Access Management Python (Programming Language) OpenShift Performance Tuning Standard Sql Data Streaming Snowflake Apache Spark AWS Lambda Microsoft Fabric Data Lakes Pyspark Kubernetes Infrastructure Automation Frameworks Collibra AWS Glue Data Analytics Apache Kafka Data Management Cloudwatch Amazon Simple Queue Service (SQS) Terraform Data Pipelines Docker Amazon Redshift Databricks

Job description

Careers at LTMAssociate Principal - Cloud EngineeringJob ID: 88482612 - 15 Years1 OpeningIrving - Texas - USAApply NowShare with friendsShare on FacebookShare on LinkedinPost on X AppEmail your friendsRole descriptionJob Title: DATABRICKS ArchitectWork LocationIrving TXJob Description:Role OverviewWe are seeking a highly skilled Databricks Engineer with AWS expertise to support Data Services portfolioThe role will be responsible for designing developing optimizing and supporting enterprise scale data platforms data pipelines and analytics solutions leveraging Databricks Lakehouse AWS Cloud and modern data engineering practicesThe candidate will work closely with data architects’ application teams business stakeholders and platform engineering teams to deliver scalable secure and high-performance data solutionsKey ResponsibilitiesDesign develop and maintain scalable data pipelines using Databricks PySpark Spark SQL and Delta LakeBuild and support enterprise data lake and Lakehouse solutions on AWSDevelop batch and Realtime ingestion frameworks from multiple source systemsImplement data transformation enrichment cleansing and validation processesOptimize Spark workloads for performance scalability and cost efficiencyDesign and implement data models supporting reporting analytics and downstream applicationsIntegrate Databricks with AWS services including S3 Glue Lambda Redshift EventBridge and IAMSupport data migration and modernization initiatives from traditional data warehouses to Databricks LakehouseImplement CICD pipelines and Infrastructure as Code IaC using Terraform and Gitbased repositoriesCollaborate with security teams to ensure compliance with client governance risk and data security standardsTroubleshoot production incidents and provide L3 operational supportParticipate in architecture reviews code reviews and technical governance activitiesMandatory Technical SkillsDatabricksDatabricks Lakehouse ArchitectureDatabricks WorkflowsDelta LakeUnity CatalogDatabricks SQLAuto LoaderStructured StreamingDatabricks Performance TuningMedallion ArchitectureAWSAmazon S3AWS GlueAWS LambdaAWS IAMAmazon RedshiftAWS CloudWatchSNS SQSEventBridgeKMSSecrets ManagerData EngineeringPySparkApache SparkPythonSQLData Warehousing ConceptsETLELT DesignData ModelingData Quality FrameworksBatch RealTime ProcessingPreferred SkillsSnowflakeMicrosoft FabricGCP BigQueryKafkaAirflowdbtTerraformDockerKubernetes OpenShiftInformaticaCollibraData Vault ModelingDimensional Data ModelingBanking Domain ExperienceStrong experience within Banking and Financial ServicesUnderstanding of enterprise data governance regulatory reporting risk compliance and audit requirementsExperience working in large global organizations with stringent security and operational standardsQualificationsBachelors or Masters degree in Computer Science Engineering Information Systems or related disciplineDatabricks Certified Data Engineer PreferredAWS Certified Data Analytics or AWS Solution Architect PreferredSkillsMandatory Skills : AWS Cloud Architecture, DatabricksOther detailsVariable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. 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 (ā€œLTIMā€):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 LeaveThe 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.BenefitsCompensation range: $ 119,230.00 to 166,598.00 per yearView all 1039 role(s)Apply NowShare with friendsToggle DropdownShare on FacebookShare on LinkedinShare on WhatsAppPost on X AppEmail your friendsView moreAbout LTMLTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/View moreWish to submit your profile for future opportunities?Click here

Requirements

  • Snowflake
  • Microsoft Fabric
  • GCP BigQuery
  • Kafka
  • Airflow
  • dbt
  • Terraform
  • Docker
  • Kubernetes OpenShift
  • Informatica
  • Collibra
  • Data Vault Modeling
  • Dimensional Data Modeling
  • Banking Domain Experience
  • Strong experience within Banking and Financial Services
  • Understanding of enterprise data governance regulatory reporting risk compliance and audit requirements
  • Experience working in large global organizations with stringent security and operational standards, * Bachelors or Masters degree in Computer Science Engineering Information Systems or related discipline
  • Databricks Certified Data Engineer Preferred
  • AWS Certified Data Analytics or AWS Solution Architect Preferred

Skills

Mandatory Skills : AWS Cloud Architecture, Databricks

Benefits & conditions

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. 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 (ā€œLTIMā€):

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., Compensation range: $ 119,230.00 to 166,598.00 per year

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…