Data Engineer /Data Analyst /Data Architect / Data Modeler

Job description: -Title: Sr Data Modeler / AnalystLocation: Wilmington, DE (5 Days Onsite every Week)Duration: ... monthsAdditional 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 mindsetExperience" 10 14+ years overall experience in data engineering" 5+ years leading AWS based data engineering teams or workstreams"Title: Data Architect / Data ModelerLocation: Wilmington, DE (5 Days Onsite every Week)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.________________________________________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.________________________________________Core Areas of Expertise (AWS Focused)" Enterprise Data Strategy & Architectureo Define AWS based data strategy, target state architecture, and migration roadmapso Logical and physical data modeling for analytical and operational use cases" AWS Data Platform Serviceso Amazon S3 enterprise data lake design, zoning, lifecycle policies, cost optimizationo AWS Glue metadata catalog, ETL/ELT pipelines, data quality and orchestrationo Amazon Redshift (including RA3, Redshift Spectrum) enterprise data warehousing and analyticso Amazon Aurora / RDS PostgreSQL operational and analytical workloads" Data Engineering & Processingo PySpark, Python for large scale batch and streaming data processingo Design patterns for incremental loads, CDC, and event driven architectures" AI / ML & Generative AI Enablemento 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 & Qualityo Data security, encryption, IAM, lake permissions, and regulatory complianceo Data quality, observability, lineage, and metadata management" Operations & Reliabilityo Backup, recovery, DR strategies for AWS data platformso Cost optimization, performance tuning, and operational excellence________________________________________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.________________________________________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.________________________________________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 authorityAbout Tanisha Systems, Inc.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