Senior Solutions Architect

Sr. Solution Architect (Data)

FTE

Location: Remote is okay

If candidate is in Mumbai this would be onsite in Andheri East, Mumbai, Maharashtra

Experience: 12–15 years

Start: End of December (urgent)

Role summary

We’re looking for a senior, hands-on Solution Architect (Data) to lead design and delivery of enterprise data & analytics solutions. You’ll own architecture for ETL/ELT, data warehousing, analytics pipelines, data governance, and integrations with LMS/EdTech systems — turning education data into actionable insights and production-grade platforms used by districts, schools, and publishers.

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.

Key responsibilities

• Define 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.
• 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.

Must-have skills & experience (non-negotiable)

• 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).
• 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.

Nice-to-have / Preferred

• Prior experience in EdTech, education data projects, or working with school/district customers. (Knowledge of Ed-Fi, OneRoster, SIS/LMS systems is a plus.)
• Experience building or operating AI/ML pipelines and MLOps for predictive analytics (student success models, recommendation engines).
• Experience with data cataloging / lineage tools (Great Expectations, Amundsen, DataHub, Collibra).
• Familiarity with GDPR, FERPA, state education data privacy regulations.
• Experience with CI/CD for data (GitOps for pipelines, automated testing for data).
• Previous role in consulting/solutions architecture working directly with customers on design and implementation.

Technical stack (examples we expect you to be comfortable with)

• 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).