Aptus Data Labs

1 day ago

Bengaluru, India Aptus Data Labs Full time

Job Title : Enterprise Data Architect (AWS)Experience : 12+ yearsLocation : BangaloreEmployment Type : Full-timeNotice : Prefer with shorter notice or can join within 30 daysAbout the Role :We are seeking a seasoned Enterprise Data Architect with over 12+ years of experience in designing, implementing, and optimizing enterprise data platforms.The ideal candidate will have deep expertise in cloud-native data architecture (AWS) and data engineering frameworks (Databricks, Spark) to drive large-scale digital transformation and AI/analytics initiatives.Key Responsibilities :- Lead the enterprise data architecture strategy, ensuring scalability, performance, and alignment with business goals.- Architect and implement data lakehouse solutions using Databricks on AWS for unified data management and analytics.- Design end-to-end data pipelines, integration frameworks, and governance models across structured and unstructured data sources.- Define data models, metadata management, and data quality frameworks for enterprise-wide adoption.- Collaborate with data engineering, AI/ML, analytics, and business teams to enable real-time and batch data processing.- Evaluate and integrate emerging technologies in data mesh, GenAI data pipelines, and automation frameworks.- Provide technical leadership and mentorship to data engineering and architecture teams.- Establish best practices for data security, lineage, compliance (GDPR, HIPAA), and cloud cost optimization.- Partner with business stakeholders to define data modernization roadmaps and cloud migration strategies.Required Skills and Experience :- 10- 15 years IT experience with 5- 8 years enterprise data architect.- Strong experience in Data Architecture, Data Engineering, or related domains.- Proven experience architecting enterprise-scale data platforms using AWS (S3, Glue, Lambda, Redshift, EMR, Athena, Lake Formation, etc.- Hands-on expertise in Databricks (Delta Lake, Spark, Unity Catalog, MLflow).- Strong experience with data modeling (dimensional, canonical, semantic models) and ETL/ELT pipelines.- Deep understanding of data governance, master data management (MDM), and data cataloging tools.- Proficient in SQL, Python, PySpark, and API-based data integration.- Experience with modern data stack (Snowflake, dbt, Airflow, Kafka, etc.) is a plus.- Strong understanding of AI/ML data readiness, metadata design, and data observability frameworks.- Excellent communication and leadership skills to collaborate with technical and business teams.- Certifications in AWS (Data Analytics / Solutions Architect) or Databricks preferred.Preferred Qualifications :- Experience in enterprise data strategy, governance frameworks, and migration of legacy systems to cloud.- Exposure to GenAI data pipelines or LLM-based data preparation workflows.- Strong background in data security, IAM, and compliance standards.Education :- Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or related field. (ref:hirist.tech)

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