Jobs → Data & Analytics → Data Architect

About the Role We are looking for a hands-on Data Architect with strong AWS, PySpark, Python, and Apache Spark expertise to design and lead enterprise-scale data platforms in the financial domain. Key Responsibilities • Design and lead enterprise-scale data platforms • Lead data engineering teams • Ensure strong financial domain knowledge Requirements • 9+ years of experience in Data Engineering / Data Architecture • 3–4+ years in Data Architect or Technical Lead roles • Strong Python, PySpark, Advanced SQL, and Apache Spark • Hands-on experience with AWS Glue, S3, Lambda, IAM, and CloudWatch • Strong Apache Airflow experience (DAGs, scheduling, monitoring) • Expertise in Data Lake, Data Warehouse, and Dimensional Modeling • Spark performance tuning, partitioning, optimization, and cost management • Experience with Git, CI/CD, Terraform / CloudFormation • Financial domain experience (Banking, Payments, Capital Markets, Insurance, or Lending) • Knowledge of data governance, reconciliation, regulatory reporting, and data security • Strong technical leadership, communication, and mentoring skills Good to Have • AWS Redshift, Athena, EMR, Lake Formation • Apache Iceberg, Hudi, or Delta Lake • AWS Solutions Architect / Data Engineer certifications