Additional Job Details:
"Primary Responsibilities
• Lead the design and implementation of complex AWS data engineering solutions.
• Own technical delivery across multiple data pipelines, domains, or workstreams.
• Translate data architecture into scalable, production grade implementations.
• Define and enforce engineering standards, frameworks, and reusable accelerators.
• Drive performance tuning, cost optimization, and reliability of AWS data platforms.
• Guide teams on best practices for Glue, Redshift, S3, PySpark, and Python.
• Work closely with architects, product owners, and stakeholders to shape solutions.
• Provide technical leadership during production issues, migrations, and modernization programs.
Core Technical Skills
• Deep expertise in AWS Glue, S3, Redshift, PostgreSQL
• Advanced PySpark and Python engineering
• Experience with CDC, streaming, and event driven data architectures (Kinesis / MSK – good to have)
• Strong understanding of data security, governance, and operational excellence
• CI/CD, IaC (Terraform / CloudFormation – good to have)
Behavioral & Leadership Skills
• Strong technical leadership and mentoring capability
• Ability to make architectural trade off decisions at implementation level
• Excellent stakeholder communication and ownership mindset
Experience
• 10–14+ years overall experience in data engineering
• 5+ years leading AWS based data engineering teams or workstreams"
Primary Responsibilities
• Collaborate with client business and technology leadership to provide AWS-centric data strategy and architecture thought leadership, acting as a trusted advisor to define scalable, secure, and future ready data platforms.
• Review existing on premise and cloud data architectures and recommend modernization and migration strategies to AWS, identifying gaps, risks, and optimization opportunities.
• Define end to end AWS data architectures covering ingestion, storage, processing, analytics, AI/ML, and consumption layers.
• Lead architecture decisions for data lakes, lakehouse, data warehouses, and real time streaming platforms on AWS.
• Drive architecture standards, reference patterns, and guardrails aligned to AWS Well Architected Framework and enterprise governance needs.
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Behavioral and Teaming Responsibilities
• Engage with CxOs, enterprise architects, security, and platform teams to ensure AWS data solutions align with enterprise IT strategy.
• Provide architectural guidance to solutioning, delivery, and portfolio enablement teams during PoCs, pilots, and production rollouts.
• Act as a mentor for data engineers, ML engineers, and analytics teams across AWS implementations.
• Demonstrate strong stakeholder management, consultative mindset, and ability to influence decisions across business and IT.
• Experience working across Agile, Waterfall, and hybrid delivery models in large transformation programs.
• Comfortable operating in fast paced, multi client, and ambiguous environments.
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Core Areas of Expertise (AWS Focused)
• Enterprise Data Strategy & Architecture
o Define AWS based data strategy, target state architecture, and migration roadmaps
o Logical and physical data modeling for analytical and operational use cases
• AWS Data Platform Services
o Amazon S3 – enterprise data lake design, zoning, lifecycle policies, cost optimization
o AWS Glue – metadata catalog, ETL/ELT pipelines, data quality and orchestration
o Amazon Redshift (including RA3, Redshift Spectrum) – enterprise data warehousing and analytics
o Amazon Aurora / RDS PostgreSQL – operational and analytical workloads
• Data Engineering & Processing
o PySpark, Python for large scale batch and streaming data processing
o Design patterns for incremental loads, CDC, and event driven architectures
• AI / ML & Generative AI Enablement
o Amazon SageMaker for ML lifecycle (training, inference, MLOps integration)
o Amazon Bedrock for Generative AI use cases (RAG, enterprise copilots, AI driven analytics)
• Data Governance, Security & Quality
o Data security, encryption, IAM, lake permissions, and regulatory compliance
o Data quality, observability, lineage, and metadata management
• Operations & Reliability
o Backup, recovery, DR strategies for AWS data platforms
o Cost optimization, performance tuning, and operational excellence
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Functional Relevance of Work Experience
• Proven experience leading medium to large AWS data platform transformation programs.
• Strong background in Financial Services (Banking / Insurance) or other regulated industries.
• Experience addressing UK / Europe regulatory and data privacy requirements (GDPR, data residency, security controls).
• Ability to translate business outcomes into scalable AWS data architectures.
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Other Desired Skills
• Strong innovation mindset with passion for cloud native data, AI/ML, and emerging AWS services.
• Ability to evaluate and integrate third party tools with AWS native services where required.
• Excellent documentation, presentation, and executive communication skills.
• Continuous learner with curiosity about industry trends, customer challenges, and new AWS capabilities.
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Experience Tenure (Leadership, Overall)
• 15–20+ years of overall IT experience
• 5+ years in senior data architect roles spanning architecture, consulting, and large scale delivery
• Strong hands on background combined with enterprise level design authority
Tanisha Systems, founded in 2002 in Massachusetts-*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in * and *.
Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.
Want to read more about Tanisha Systems? Visit us at
www.tanishasystems.com