Data Architect

2 days ago

Hyderabad, Telangana, India Innominds Software Full time

Job Title: Senior Data Architect

Experience: 815 Years

Location: Open / Hybrid / Onsite

Employment Type: Full-Time

Job Summary

We are seeking a Senior Data Architect to design, build, and govern scalable data architectures that support advanced analytics, business intelligence, and data-driven decision-making. The ideal candidate will lead enterprise data architecture initiatives, ensure data quality and security, and work closely with engineering, analytics, and business teams.

Key Roles & Responsibilities

  • Design and define enterprise-level data architecture including data models, data lakes, data warehouses, and data marts
  • Lead the development of scalable, high-performance data platforms on cloud and on-prem environments
  • Define data integration patterns (ETL/ELT, streaming, batch processing)
  • Establish and enforce data governance, data quality, and metadata management standards
  • Design logical, physical, and conceptual data models
  • Collaborate with Data Engineers, Analytics teams, and Business stakeholders
  • Drive cloud data architecture using AWS, Azure, or GCP services
  • Define security, compliance, and access control policies for data platforms
  • Evaluate and recommend new data technologies, tools, and frameworks
  • Optimize data storage, performance, and cost efficiency
  • Mentor junior data architects and engineers
  • Support advanced use cases including AI/ML, real-time analytics, and big data processing

Required Skills & Qualifications

Technical Skills

  • Strong experience in Data Architecture & Design
  • Expertise in Data Warehousing concepts (Star/Snowflake schemas)
  • Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka)
  • Proficiency in SQL and NoSQL databases
  • Experience with ETL/ELT tools (Informatica, Talend, dbt, Airflow, etc.)

  • Strong knowledge of Cloud Data Services:

  • AWS: Redshift, Glue, S3, Lake Formation

  • Azure: Synapse, Data Factory, ADLS

  • GCP: BigQuery, Dataflow

  • Experience with Data Lake / Lakehouse architectures (Delta Lake, Iceberg, Hudi)

Data Governance & Security

  • Data governance frameworks and best practices
  • Master Data Management (MDM)
  • Metadata management and data lineage
  • Data privacy regulations (GDPR, HIPAA, etc.)

Soft Skills

  • Strong leadership and stakeholder management skills
  • Excellent communication and documentation abilities
  • Strategic thinking and problem-solving mindset
  • Ability to translate business requirements into technical solutions

Education

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field

Preferred Certifications

  • AWS / Azure / GCP Data Architect certifications
  • TOGAF or equivalent architecture certification

Nice to Have

  • Experience in AI/ML data pipelines
  • Knowledge of real-time streaming architectures
  • Experience with BI tools (Power BI, Tableau, Looker)

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