Senior Data Scientist at ConsultBae India Private limited
India
—
Jul 22, 2026
India
Jul 23, 2026
What this job asks for AI summary
A senior data architecture role at a consulting firm, focused on designing and owning enterprise lakehouse platforms across client engagements. Day-to-day work spans building ingestion, transformation, and orchestration pipelines, defining data mesh and governance strategies, integrating AI/ML workloads, and advising client stakeholders on data platform roadmaps. Suited to a hands-on architect with 6–9 years of experience in data engineering or architecture, with mandatory proficiency in Python, SQL, and production-scale lakehouse platforms.
Senior level · 6+ years · Remote
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 420 people nationally plausibly meet what this posting asks for (database architects). range 250–640
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location or city is specified in the posting; the role appears to be remote or client-site-based across engagements for a consulting firm (Cognify Analytics). CBSA and state fields are left blank accordingly.
The title 'Architect (Senior/Specialist level)' explicitly frames this as a senior-level role; seniority is assessed as Senior given the 6–9 year experience range and scope — the requirements do not support Staff or Principal despite the architectural authority framing, which is typical for consulting firm architect titles.
SOC code 15-1243 (Database Architects) is the closest fit given the primary focus on enterprise data platform and lakehouse architecture, data modeling, and pipeline design. However, the heavy hands-on engineering emphasis (Python, PySpark, pipeline building) creates genuine overlap with 15-1252 (Software Developers), hence the alternate code.
Python, SQL, and lakehouse platform experience are explicitly called out as 'Must-Have Skills (Non-Negotiable)' with a hard rejection statement. PySpark and Delta Lake appear in the same must-do section and are framed as mandatory hands-on requirements throughout.
dbt, Airflow/Dagster, Spark, Kafka, and Fivetran/Airbyte appear under 'What We're Looking For' with 'Strong knowledge' framing — treated as required given the mandatory-requirements section placement.
Cloud platform experience (AWS, Azure, or GCP) is listed under 'What We're Looking For' as a required capability; all three are interchangeable alternatives.
Apache Iceberg, Apache Hudi, Unity Catalog, Delta Live Tables, MLflow, Mosaic AI, Flink, and LLMs all appear under 'Preferred Qualifications' or as emerging technologies to evaluate — marked as preferred.
No compensation range is stated in the posting.
Read the full posting
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