Senior Enterprise Data Architect

5 days ago

vellore, India beBeeData Full time

Senior Data Solutions ArchitectWe are seeking a senior-level data solutions architect to lead the design and delivery of our enterprise data and analytics solutions.The ideal candidate will have 12-15 years of experience in data engineering, analytics, or data architecture roles with progressive ownership. They will also have hands-on experience building and operating ETL/ELT pipelines and orchestration frameworks.Key Responsibilities:Define end-to-end data architecture and roadmaps for large-scale education data platforms.Lead design and implementation of robust ETL/ELT pipelines and orchestration (batch + streaming) to bring together disparate education systems.Design and optimize data warehouses/data lakes (schema strategy, partitioning, performance, cost).Drive integration patterns and APIs for interoperability (OneRoster, Ed-Fi, LTI, custom APIs), and lead vendor/partner integrations.Establish data governance, privacy, lineage, and security practices suitable for student data (PII handling, role-based access, encryption, audit).Collaborate with product managers, engineering leads, data scientists, and customer success to translate customer needs into deliverable solutions.Required Skills and Qualifications:12-15 years in data engineering, analytics, or data architecture roles with progressive ownership.Hands-on experience building and operating ETL/ELT pipelines and orchestration frameworks (Airflow, dbt, Talend, Informatica, or equivalent).Strong design and operational experience with cloud data platforms (AWS/GCP/Azure) — data warehouses/lakes such as Snowflake, BigQuery, Redshift, Databricks, or similar.Proven track record in data modeling (dimensional/3NF), master data management, schema design, and query performance optimization.Experience with streaming technologies (Kafka, Kinesis, Pub/Sub) and hybrid batch/streaming patterns.Familiarity with BI/analytics tooling and self-service analytics (Tableau, Power BI, Looker, Superset) and delivering dashboards/reports to non-technical stakeholders.Strong knowledge of data security, privacy, and governance frameworks (encryption, RBAC, GDPR/FERPA implications for education data).Solid API and integration experience (REST, GraphQL, SOAP) and familiarity with education interoperability standards (OneRoster, Ed-Fi, LTI) is highly desirable.Technical Stack:Cloud: AWS / GCP / Azure (production experience).Data storage/compute: Snowflake / BigQuery / Redshift / Databricks / S3 / GCS.Orchestration/ETL: Airflow, dbt, Prefect, Informatica, Talend, or custom pipelines.Streaming: Kafka, Kinesis, Pub/Sub.BI & analytics: Tableau, Power BI, Looker, Superset.Data ops & governance: Great Expectations, Data Catalogs, lineage tools.Dev tools: Git, Terraform, Docker, Kubernetes, CI systems.Languages: SQL (expert), Python, Scala/Java (optional).

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