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Job Title: Data Analytics Solution Architect – Banking DomainLocation: IndiaEmployment Type: Full-timeExperience Level: 10+ years**Only candidates with proven experience in the banking domain will be considered****Immediate joiners or candidates with a notice period of 15 days or less are strongly preferred**About the Role:We are seeking a seasoned Data Analytics Solution Architect with deep experience in the banking and financial services industry to lead the design and implementation of cutting-edge data analytics solutions. The ideal candidate will bring a strong blend of data architecture expertise, business acumen in banking, and hands-on experience with modern analytics platforms and cloud technologies.Key Responsibilities:Design end-to-end data and analytics solutions tailored to banking use cases such as credit risk analysis, customer 360, fraud detection, regulatory compliance, and portfolio management.Work closely with business stakeholders, data engineers, data scientists, and BI developers to translate business needs into scalable and secure data architectures.Define the data strategy and architecture blueprint, including data ingestion, storage, processing, and consumption layers.Champion the adoption of modern data platforms and tools (e.g., GCP, Azure Synapse, Snowflake, Databricks, Power BI, Tableau, Looker etc.).Ensure data governance, quality, lineage, and security standards are embedded into solution design.Lead technical discussions with enterprise architects, solution architects, and delivery teams.Stay updated on banking industry trends, regulatory requirements (e.g., Basel, AML, KYC), and emerging technologies.Develop reference architectures, design patterns, and reusable components for analytics solutionsRequired Qualifications:Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.10+ years of experience in data architecture, data engineering, or analytics roles.5+ years of experience specifically in the banking or financial services domain.Deep knowledge of SQL, Spark, Python, Git, ETL/ELT tools, Data Modeling toolsProven track record designing large-scale data platforms (on-premises or cloud).Strong knowledge of data modeling, ETL/ELT, data lakes, and data warehousing concepts.Hands-on experience with cloud data platforms (Azure, AWS, or GCP).Proficiency in SQL, Python/Scala, and modern data tools (e.g., Apache Spark, Kafka, Airflow).Familiarity with reporting and visualization tools like Power BI, Tableau, or Looker.Knowledge of data privacy, security, and compliance in financial services.Preferred Skills:Certification in any cloud platforms (e.g., GCP, Azure, AWS or Snowflake or Databricks).Understanding of machine learning pipelines and AI-driven analytics in banking.Experience with real-time data streaming and event-driven architectures.Familiarity with core banking systems and APIs.