Solution Architect - Data Warehouse, BI & Data Governance

Job Description: Solution Architect - Data Warehouse, BI & Data Governance

Location: Gurugram, Sector 32

Work Mode: Work from Office (5 days a week)

Experience: 12+ Years

Employment Type: Full-time

About SCIKIQ

SCIKIQ is an AI-native, no-code data platform from Gurugram. Enterprises use it to

connect their data, govern it (catalog, lineage, data quality, policies) and use it through

dashboards, data products and AI copilots for varied Use cases

The Role

You design the data foundation for our enterprise customers on SCIKIQ: the data

warehouse / lakehouse, the data models, the governance and the BI layer. Your job is to

make customer data trusted, well-organised and ready for reporting and AI.

What you will do

• Data warehouse design: Design end-to-end warehouse / lakehouse solutions on

SCIKIQ - ingestion, transformation, curated layers.

• Data modelling: Build data models and define KPIs in the semantic layer so

everyone sees the same numbers.

• Data governance: Set up catalog, glossary, lineage, data quality rules, ownership,

access policies and PII masking for customers.

• BI and reporting: Design dashboards on SCIKIQ and on Power BI / Tableau, on top

of governed data.

• Delivery: Run workshops, write solution designs, guide the implementation team

and fix issues till go-live.

• Pre-sales: Run demos and POCs, and explain the solution to CDOs and business

heads in simple terms.

• Work with the AI architect: Make the data AI-ready so the AI Solution Architect can

build copilots and agents on it. Solve use cases together.

Must have

• 12 15 years in data warehousing, BI or data architecture

• 5+ years architecting enterprise B2B data solutions.
• Strong in data warehouse / lakehouse design and data modelling (star schema,

ETL / ELT, performance tuning).

• Strong SQL with working Python understanding
• Hands-on with Snowflake, Databricks, BigQuery, Redshift or similar.
• Strong in Power BI, Tableau or Qlik or any other BI tool
• Hands-on data governance: catalog, lineage, data quality, access control

(Collibra, Alation, Atlan, Purview or SCIKIQ).

• Explains things simply to business and tech teams. Comfortable on the ground

with customers. Good communication skill required