Hiring Data Architect for Pune Location.

Experience : 7-10 Years

Job Description :

Key Responsibilities :

Data Product Architecture :

- Define target-state data architectures for Data Products, covering ingestion, storage, processing and consumption patterns.

- Establish architectural guardrails to ensure Data Products are scalable, reusable, secure and fit for enterprise consumption.

- Ensure architecture supports multiple consumption patterns including analytics, reporting, operational processes and advanced analytics.

Architecture Governance & Design Authority :

- Act as a design authority for Data Product architecture decisions within delivery teams.

- Review and approve data architecture designs to ensure alignment with enterprise architecture standards.

- Balance tactical delivery needs with long-term strategic architecture objectives.

Data Modelling & Integration Oversight :

- Provide architectural oversight for conceptual, logical and physical data models produced by data modelling teams.

- Guide integration patterns, data flows, contracts and interfaces between systems.

- Ensure appropriate handling of data lineage, metadata, auditability and history management across products.

Data Governance, Risk & Control :

- Ensure Data Product architectures comply with data governance, data quality, privacy, security and records management requirements.

- Embed architectural controls that support regulatory, audit and risk expectations.

- Partner with governance and control teams to proactively identify and mitigate data risks.

Collaboration & Stakeholder Management :

- Work closely with business stakeholders, engineering teams and platform architects to ensure architecture decisions are well understood and implementable.

- Provide clear architectural direction and rationale to both technical and non-technical audiences.

- Support delivery teams in resolving architectural issues and design trade-offs.

Essential Skills & Experience :

- Strong experience in enterprise data architecture, preferably within large, complex organizations.

- Proven experience designing data architectures for Data Products, data platforms or analytics ecosystems.

- Solid understanding of data ingestion patterns, storage technologies, data processing and consumption architectures.

- Strong grounding in data modelling concepts, even if not hands-on for day-to-day modelling.

- Experience working in regulated environments with strong control, audit and compliance expectations.

- Excellent stakeholder management and decision-making skills.

- Proficiency in SQL and familiarity with database management systems (e.g., Oracle, SQL Server, DB2 etc).

- Understands data design specifications and maintain data dictionaries.

- Experience in conducting data profiling and analysis to identify data quality issues and propose solutions.

Desirable Skills & Experience :

- Exposure to modern data architectures, including cloud and hybrid data platforms.

- Experience supporting data modernization or legacy platform migration programs.

- Familiarity with data governance, metadata management and data quality frameworks.

- Experience working closely with data engineers, analysts and platform teams.