Data Architect – AWS

Job Title: Data Architect – AWSExperience: 12+ YearsLocation: Hybrid – Lahore, Karachi, IslamabadEmployment Type: Full-TimePosition OverviewWe are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.Key ResponsibilitiesDefine and own enterprise-wide data architecture strategy and roadmapArchitect scalable, secure, high-performance batch and real-time data platforms on AWSDesign modern data lake, data warehouse, and lakehouse architecturesDefine enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworksArchitect data warehousing solutions using Amazon RedshiftEstablish data modeling standards (Dimensional, Data Vault, Hybrid approaches)Define governance, cataloging, lineage, and access control frameworks using AWS DataZoneLead architecture governance forums and conduct design reviewsEstablish best practices for scalability, performance tuning, disaster recovery, and cost optimizationDefine security architecture aligned with enterprise compliance standardsProvide technical leadership and mentorship to Data Engineers and Technical LeadsPartner with business, analytics, and executive stakeholders to align data architecture with organizational goalsDrive innovation and evaluation of emerging data technologiesRequired Skills & Experience12+ years of experience in Data Engineering / Data ArchitectureExtensive experience designing enterprise-scale data platforms on AWSStrong expertise in:AWS GlueAmazon EMR (Spark)AWS LambdaApache Airflow (MWAA)Amazon RedshiftAmazon S3Amazon DynamoDBAWS DataZoneAmazon CloudWatchStrong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)Experience designing enterprise data lake, warehouse, and lakehouse ecosystemsStrong knowledge of data governance, metadata management, and data security frameworksAdvanced SQL and strong Python expertiseExperience defining architecture principles, standards, and enterprise roadmapsStrong stakeholder management and cross-functional leadership skillsExperience leading large data engineering teamsExperience working in Agile / SAFe delivery modelsNice to HaveAWS Certified Solutions Architect – ProfessionalAWS Data Analytics Specialty CertificationExperience with streaming technologies (Kinesis, Kafka)Exposure to multi-cloud or hybrid architecturesExperience leading enterprise data transformation programs