Senior Solutions Architect (Data)
Hillview Consulting SolutionsPrayagraj(Allahabad), IN4 days ago
Job description12–15 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. 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. 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).
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)
Nice-to-have / Preferred
Technical stack (examples we expect you to be comfortable with)
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Solution Architect • Prayagraj(Allahabad), IN
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