Designs and owns scalable enterprise data platforms across ingestion, storage, processing, serving, and analytics. Responsibilities include cloud data lake, lakehouse, and warehouse architecture; data modeling; governance, security, quality, metadata, and lineage standards; architecture reviews; technology selection; cost optimization; team guidance; stakeholder collaboration; and presales support. Requires strong Snowflake or Databricks, cloud, SQL, data modeling, programming, Spark, and ETL/ELT expertise.
About Techdome
Techdome Solutions Pvt. Ltd. is a technology consultancy and product engineering company founded in 2020 and headquartered in Indore. We design, build and run AI-powered, cloud-native platforms across data engineering, machine learning, cloud, automation, CRM and enterprise platforms. Our own products include JustInterview.ai and Catalyst ERP, and we serve clients from startups to large enterprises worldwide.
Why join us: Work on global client programs and our own products, a fast-growing team, ownership from day one, and recognition as Madhya Pradesh Best Employer Brand 2026.
Job Details
Experience: 5–12 years
Notice Period: Immediate joiners (0–15 days) only
Locations: Hyderabad, Indore, Noida, Delhi, Mumbai
Employment Type: Full-time, permanent
Work Mode: Work from office
Education: B.E./B.Tech/MCA or equivalent in Computer Science, IT or a related field
How to Apply: Share your updated CV with current CTC, expected CTC and notice period / last working day.
We are looking for a Data Architect to design and own modern, scalable data platforms for our enterprise clients, from data strategy and modelling through to cloud implementation and governance.
Key Responsibilities:
- Define end-to-end data architecture: ingestion, storage, processing, serving and analytics layers.
- Design data lakes, lakehouses and warehouses on Azure, AWS or GCP (Snowflake, Databricks, Synapse, BigQuery, Redshift).
- Build conceptual, logical and physical data models (dimensional, Data Vault, 3NF).
- Set standards for data quality, metadata, lineage, security and governance (Unity Catalog, Purview, Collibra).
- Lead architecture reviews, technology selection and cost/performance optimisation.
- Guide data engineering teams and work with business stakeholders to turn requirements into solutions.
- Support pre-sales: solution proposals, effort estimates and client presentations.
Required Skills:
- 5+ years in data engineering/architecture, with at least 2–3 years in an architect role.
- Strong hands-on experience with Snowflake and/or Databricks, plus one major cloud platform.
- Expert SQL and data modelling; working knowledge of Python or Scala and Spark.
- Experience with ETL/ELT tools such as ADF, dbt, Informatica, Matillion or Glue.
- Solid understanding of data governance, security, RBAC and compliance.
Good to Have:
- Real-time streaming (Kafka, Event Hubs, Kinesis) and CDC.
- Data mesh / data product concepts; BI tools (Power BI, Tableau).
- Certifications: Snowflake SnowPro, Databricks, Azure/AWS/GCP Data or Solutions Architect.
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