Data Architect
COFORGE Marketing
Data Architect with AWS Data platform experience
Experience: +12 Years
Location: Fort Mill SC
We at Coforge are hiring Data Architect with AWS Data platform experience with the following skill sets.
Job Description
- Design, develop, and support scalable enterprise data platforms using AWS cloud-native services and modern data engineering technologies.
- Architect Data Lake and Lakehouse solutions using Amazon S3, AWS Glue, Lake Formation, Athena, Redshift, Apache Iceberg, Delta Lake, and Parquet.
- Develop scalable batch, incremental, and Change Data Capture pipelines for ingesting and processing data from databases, APIs, files, enterprise applications, and streaming platforms.
- Build and optimize ETL and ELT workflows using AWS Glue, Apache Spark, PySpark, Python, SQL, Lambda, and distributed data-processing frameworks.
- Design reusable data ingestion, transformation, validation, reconciliation, exception-handling, and error-recovery frameworks.
- Implement real-time and near-real-time data ingestion and processing solutions using Kafka, Amazon MSK, Amazon Kinesis, Lambda, SNS, SQS, and EventBridge.
- Develop event-driven solutions supporting integration between business applications, operational platforms, analytical systems, and downstream data consumers.
- Implement workflow orchestration using Apache Airflow, Amazon MWAA, AWS Step Functions, and event-based scheduling mechanisms.
- Design and maintain metadata management, schema management, data cataloging, data lineage, and data discovery capabilities using AWS Glue Data Catalog and Lake Formation.
- Implement data partitioning, compaction, retention, lifecycle management, and storage optimization strategies to improve performance and cost efficiency.
- Establish data quality controls for completeness, accuracy, consistency, integrity, uniqueness, and source-to-target reconciliation.
- Implement secure and governed data-access models using IAM, KMS, S3 policies, Lake Formation permissions, encryption, and fine-grained access controls.
- Collaborate with Business, Data Governance, Security, Analytics, Infrastructure, and Architecture teams to deliver trusted and reusable enterprise data products.
- Tune data pipelines, Spark workloads, data-storage layouts, and analytical queries for scalability, reliability, and performance.
- Lead architecture reviews, technical design discussions, coding standards, platform modernization, and engineering best-practice initiatives.
- Provide technical leadership and mentoring to data engineers while ensuring alignment with enterprise architecture, security, governance, and delivery standards.
Vacancy posted 23 hours ago
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