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Data Solution Architect

12 - 15 years

35 - 40 Lacs

Gurugram Bengaluru Mumbai (All Areas)

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role: Data Solution Architect

Role Objectives

  1. Design and maintain enterprise data architecture to support the analysis and interpretation of complex datasets from diverse sources, transforming them into actionable business insights.
  2. Lead deep technical investigations into complex data challenges to define

    solution architecture

    , propose target state models, and identify key benefits.
  3. Apply

    industry-standard templates, methodologies, and best practices

    for data architecture, integration, and governance.
  4. Implement

    enterprise data management capabilities

    including

    data catalogues

    ,

    business glossaries

    ,

    metadata management

    ,

    data lineage

    , and

    reference/master data frameworks

    .
  5. Drive adoption of

    cloud-native platforms

    such as

    Azure Data Platform

    ,

    Informatica

    , and

    automation tools

    for scalable data solutions.
  6. Architect

    automated data processing workflows

    using tools like

    Power Automate

    ,

    Python

    ,

    macros

    , and

    custom scripts

    to streamline data operations.
  7. Identify and implement

    data architecture optimizations

    for efficiency, performance, and scalability.
  8. Collaborate with cross-functional teams to enable

    data-driven decision-making

    through architectural guidance and scalable data solutions.
  9. Enforce and promote

    data management best practices

    and architectural governance standards.

Stakeholder Management

  • Partner with

    Product Owners and Data Governance Leaders

    to promote adoption and alignment of data architecture with business objectives.
  • Ensure data solutions are

    understandable and usable

    by technical and non-technical stakeholders.
  • Act as a

    data architecture evangelist

    , capturing feedback and driving continuous improvement.

Governance and Compliance

  • Operate in alignment with organizational

    policies, data standards, and regulatory requirements

    .
  • Ensure adherence to

    enterprise data governance frameworks, policies, and audit controls

    .

Essential Skills

  • Strong experience as a Data Solution Architect in Financial Services

    (banking, superannuation, insurance, etc.) and expertise in

    customer data architecture

    .
  • Proficiency in

    data architecture

    ,

    data modeling

    ,

    data warehouses

    ,

    data lake design

    , and

    advanced analytics platforms

    .
  • Experience in

    data transformation logic

    ,

    data ingestion patterns

    , and

    data quality frameworks

    .
  • Expertise in documenting and aligning

    business data requirements

    with technical solutions.
  • Strategic thinker

    with strong

    collaboration and leadership

    capabilities.
  • Excellent communication skills

    , translating business objectives into scalable data solutions.
  • Project and stakeholder management

    , ensuring architectural deliverables are on track.
  • Proven ability to

    manage multiple concurrent data architecture initiatives

    .

Specific Skills We Are Seeking Candidates to Possess and Demonstrate Are:

  1. Ability to

    lead and operate independently

    , while collaborating with business users, architects, data engineers, testers, and analysts.
  2. Strong understanding of

    business workflows, enterprise systems

    , and gathering

    technical and business data requirements

    .
  3. Proficiency in creating

    data architecture artifacts

    , including

    ERDs, interface specs, data dictionaries, transformation logic, and lineage diagrams

    .
  4. Hands-on experience with

    complex SQL

    ,

    ETL pipelines

    , and

    cloud-based data platforms

    .

Additionally, It Would Be Advantageous If Candidates Can:

  • Develop Power BI semantic models

    and design

    visual analytics dashboards

    for key business metrics.
  • Evaluate and optimize

    data warehouse architecture and cloud migration strategies

    .
  • Create

    data quality frameworks

    and reconciliation strategies across enterprise data sources.
  • Lead or contribute to

    data governance initiatives

    and architectural enhancements.

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