Enterprise Data Solutions Director

1 week ago

Jamnagar, India beBeeSolution Full time

Lead Enterprise Data ArchitectWe are seeking a highly skilled Lead Enterprise Data Architect to join our team. The successful candidate will be responsible for designing and delivering enterprise data & analytics solutions.This is a highly technical role requiring 12–15 years of experience, proven leadership in data architecture, deep ETL/analytics know-how, and familiarity with education data ecosystems or similarly regulated verticals.Job Description:Design end-to-end data architecture and roadmaps for large-scale education data platforms (ingestion → storage → modeling → serving → analytics/ML).Lead design and implementation of robust ETL/ELT pipelines and orchestration (batch + streaming) to bring together disparate education systems (LMS, SIS, assessment, content platforms).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.Produce architecture artifacts: solution blueprints, CI/CD patterns for data delivery, runbooks, and SLA/operational playbooks.Required Skills & 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.Familiar 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).

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