Own the vision, roadmap, and delivery of enterprise-grade data platforms and BI experiences from ingestion and MDM to lakehouse analytics and executive dashboards.

Youll turn fragmented data into trusted, governed, and actionable products that improve decisions and time-to-insight across the enterprise.

Key Responsibilities :

Define Vision & Roadmap :

- Set a problem-first roadmap for lakehouse, semantic layer, and BI experiences aligned to priority business journeys & projects.

- Prioritize domains with value hypotheses (revenue, cost, risk) and ROI models.

- UAT first development.

- Map source systems, data contracts, golden records, and reporting needs with stakeholders.

- Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.

Product Leadership :

- Drive backlog, sprints, and releases with data engineering, platform teams, and BI developers.

- Manage dependencies : data readiness, reference/master data, identity resolution, and security.

Measure, Learn, Iterate :

- Track guardrails : freshness, completeness, accuracy, lineage coverage, cost-to-serve.

- Improve models/marts via A/B on dashboard usage, query latency, and decision-cycle metrics.

Governance & Compliance :

- Implement MDM policies (match/merge, survivorship), ETL/ELT standards, data cataloging, and access control.

- Partner with Security/Legal for PII/PHI handling, data residency, SOC2/ISO alignment.

Bridge Business & Technology :

- Translate schemas and platform constraints into business KPIs, SLAs, and ROI; publish runbooks, change logs, and release notes.

- Enable self-service (certified datasets, semantic models, data literacy artifacts).

Must-Have Qualifications :

- 2+ years directly owning delivery of data platforms/BI initiatives (enterprise lakehouse, marts, or domain data products).

- Hands-on product ownership with at least one modern data platform : Databricks, Snowflake, Microsoft Fabric/Azure, Cognite Data Fusion (or similar).

- Fluency in MDM concepts (golden record, hierarchy mgmt, survivorship), ETL/ELT pipelines, and data governance (catalog, lineage, data quality rules, access policies).

- Strong agile execution with Jira/Confluence/Azure DevOps; ability to write testable UAT documents & User stories with clear SLAs/DQ checks.

- Strong academic background + MBA (Tier-1) engineering/CS preferred.

Nice to Have :

- Experience with semantic layers/metrics stores (e.g., Power BI models, dbt metrics, LookML-style), dbt, Spark/Delta, or Airflow/Databricks Workflows.

- Exposure to event streaming (Kafka), CDC (Debezium/Fivetran), and cost/performance tuning (caching, clustering, query acceleration).

- Familiarity with data contracts, domain-driven design for data, and data product operating models.

Familiarity With Skills & Tools :

- Data Platform : Databricks (Delta, Unity Catalog), Snowflake (Tasks/Streams), Microsoft Fabric/Azure Synapse; Cognite DF a plus.

- Pipelines & Modeling : SQL, basic Python literacy, ELT (dbt), orchestration (Airflow/Workflows), DQ (Great Expectations/expectations via dbt tests).

- BI & Semantics : Power BI (DAX, modeling, RLS), Tableau (LOD, governance), certified datasets, usage telemetry.

- Collab : Jira/Confluence/Azure DevOps, Lucidchart/Draw.io, PPT/Excel/Word, Git for versioning.

About Us :

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact.

We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive.

Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.