AWS Cloud Data Architect

Role descriptionAWS Cloud Data ArchitectClient American Honda Motor Co., Inc.Location Torrance,California 4 days onsite "Key ResponsibilitiesData Architecture Design1 Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control 2 Define data models data lineage and data quality standards for the DataHub 3 Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements 4 Come up with a design that accommodates AIML applications in the next phaseData Ingestion and Integration1 Design and build data pipelines to extract transform and load data from various sources databases APIs flat files into the DataHub using AWS Glue AWS Batch or custom ETL processes 2 Implement data cleansing and normalization techniques to ensure data quality 3 Manage data ingestion schedules and error handling mechanisms  Data Governance and Access Control1 Establish data access controls and security policies to protect sensitive data within the DataHub using IAM roles and policies 2 Develop data governance frameworks including data quality checks data lineage tracking and data retention policies  Data Analytics Enablement1 Create data catalogs and metadata management systems to facilitate data discovery and understanding by business users and data analysts 2 Design and implement data views and dashboards using Power BI to enable data exploration and visualization 3 Create data warehouses and data marts to meet the needs of the businessMonitoring and Optimization1 Monitor data pipeline performance data quality and system health to identify and resolve issues proactively 2 Optimize data storage and processing costs by leveraging AWS cost optimization features  Data Exchange1 Develop the required governance security monitoring and guard rails to enable efficient data exchange between internal application and their external vendors partners and SaaS providers 2 Develop intake process SLAs and usage rules for internal and external data set producers and consumersRequired Skills and ExperienceAWS Expertise Deep understanding of AWS data services including S3 Glue Redshift Athena Lake Formation Sep Functions CloudWatch and EventBridge  Data Modeling Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes  Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and data quality checks Experience with Informatica IICS and ICDQ is a plusProgramming Languages Proficiency in Python SQL and potentially PySpark for data processing and manipulation  Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking Preferred QualificationsExperience with data lakehouse architectures and the ability to leverage both structured and unstructured data  Familiarity with data visualization tools like Tableau or Power BI  Strong communication and collaboration skills to work with stakeholders across business and technical teams AWS certifications related to data analytics and architecture"Other detailsBenefits/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 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 ofthis posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Ouremployment decisions are made without regard to race, color, creed, religion, sex (includingpregnancy, childbirth or related medical conditions), gender identity or expression, national origin,ancestry, age, family-care status, veteran status, marital status, civil union status, domesticpartnership status, military service, handicap or disability or history of handicap or disability, geneticinformation, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientationor preference, or any other characteristic protected by applicable federal, state, or local law, exceptwhere such considerations are bona fide occupational qualifications permitted by law.