Senior Business Intelligence Architect

2 weeks ago

moradabad, India beBeeData Full time

Enterprise Data Solutions LeaderWe are seeking a highly skilled and experienced Enterprise Data Solutions Leader to join our team. As a key member of our organization, you will be responsible for leading the design and delivery of enterprise data & analytics solutions.This is a highly technical role requiring 12–15 years of experience in data engineering, analytics, or data architecture roles with progressive ownership. You will own architecture for ETL/ELT, data warehousing, analytics pipelines, data governance, and integrations with LMS/EdTech systems.Data Architecture ExpertiseCreate end-to-end data architecture and roadmaps for large-scale education data platforms (ingestion → storage → modeling → serving → analytics/ML).Design and implement robust ETL/ELT pipelines and orchestration (batch + streaming) to bring together disparate education systems (LMS, SIS, assessment, content platforms).Develop data warehouses / data lakes (schema strategy, partitioning, performance, cost).Establish integration patterns and APIs for interoperability (OneRoster, Ed-Fi, LTI, custom APIs), and lead vendor/partner integrations.Create 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.Mentor engineering and data teams; run architecture reviews and technical critiques.Support pre-sales and RFP responses with technical solutioning and estimations when required.Champion best practices for observability (metrics, logging), testing, and cost governance in data platforms.Requirements:Must-have skills & experienceProgressive experience in data engineering, analytics, or data architecture roles.Hands-on experience building and operating ETL/ELT pipelines and orchestration frameworks.Strong design and operational experience with cloud data platforms — 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.Excellent communication skills — able to present technical concepts to product, sales, and executive stakeholders.Proven leadership: mentoring, technical decision making, and running architecture review boards.

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