Data Architect

Role description

We are seeking a Senior Data Architect to join our team.

The Senior Data Architect leads the design, development, and governance of enterprise-wide data architecture for banking and financial services platforms. This role drives strategic decisions on data modeling, integration patterns, and analytics infrastructure while ensuring regulatory compliance across all data assets.

Job Profile:
• Design and maintain scalable data models (conceptual, logical, physical) for core banking, payments, risk, and regulatory reporting systems
• Define enterprise data integration strategy across on-premise and cloud environments (Azure, AWS, GCP)
• Establish data governance frameworks, data lineage, and metadata management standards aligned with Basel III/IV, SOX, and GDPR requirements
• Lead data lake/warehouse architecture design using modern platforms (Snowflake, Databricks, BigQuery)
• Partner with AI/ML teams to ensure data pipelines support advanced analytics, fraud detection, and credit risk models
• Drive real-time data streaming solutions (Kafka, Flink) for transaction processing and market data feeds
• Mentor data engineers and analysts, conducting architecture reviews and establishing best practices
• Collaborate with business stakeholders to translate financial domain requirements into robust data solutions

Technical Skills:

1. SQL, Python, Spark, and data pipeline orchestration (Airflow, dbt)
2. Cloud data services (Azure Synapse, AWS Redshift, GCP BigQuery)
3. Data governance and cataloging tools (Collibra, Alation, Apache Atlas)
4. API design and microservices data patterns
5. Knowledge of financial data standards (FpML, FIX, ISO 20022)

Experience & Qualifications:

1. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field
2. 10+ years in data architecture/engineering with 5+ years in banking, capital markets, or financial services
3. Deep expertise in relational and NoSQL databases (Oracle, PostgreSQL, MongoDB, Cassandra)
4. Proven track record of designing data architectures for regulatory reporting (CCAR, DFAST, MiFID II)
5. Experience with data modeling tools (Erwin, PowerDesigner) and ETL/ELT frameworksPreferred

Preferred Certifications:

CDMP (Certified Data Management Professional), AWS/Azure/GCP Data certifications, TOGAF

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients