Technical CoE head- Data Engineering

Job Description

Reports to: Technology Solutions & Partnership HeadDirect reports: COE engineersKey interfaces: Offering owners and SMEs across industry verticals, Solution architects, delivery head, digital sales team, account sales team, account delivery teamRole summary: Set up and scale Cyient s technical CoE for Data engineering & analytics tooling with responsibilities across architecting solutions for deal pursuit and client engagements, PoC development, delivery of client engagements, focused IP/ accelerator development, and mentoring in-house talent in area of expertiseKey Responsibilities:

• Solution delivery
  • Help Project/ Delivery Manager in identifying key technical risks and mitigation plan for the same
  • Help Project/ Delivery Manager in effort estimation and planning
  • Lead delivery in select instances and ensure high levels of client satisfaction during delivery
• Knowledge management, capability building and training
  • Build practice of engineers and architects for respective technical domain
  • Mentor and guide engineers & team leads; nurture and groom in-house budding architects
  • Handle interviews to attract external talent for the role of Solution Architect/ Team Lead
  • Provide best practice advice to customers and team members; write Point of View document on emerging technology trends; conduct internal sessions on Architecture and Technology topics
• Pre-sales & solutioning support
  • Participate in pre-sales process, contribute to creation of effective proposals for large, complex systems
• Architecture definition and PoC development
  • Lead team of engineers to convert architecture and design into PoC (Proof of Concept)
• IP/ accelerator development
  • Design, architect and lead developmentof focused IP/ accelerators relevant to the CoE

Qualifications:

• Bachelors degree in Computer Science or a related field preferred (BE/ B.Tech)
• Masters degree in a related field preferred (ME/ M.Tech, MS, MCA)
• 13-17 years of experience in IT, including at least 5 years in Architecture roles
• Experience in participating in pitches to enterprise customers as Subject Matter Expert
• Experience in driving multi-million dollar technical solutions to meet client business needs in industry verticals such as Utilities, Communications, A&D, Auto, Rail, Medical Devices; managing scale delivery through optimal shoring with high client advocacy
• Expertise in creating technical documents like Architecture views, Design specifications
• Full stack engineering exposure (infra, integration, data, cloud, app), incl. UI/ UX design experience
• Expertise in Architecture consulting engagements Assessment, Blueprint, Roadmap
• Experience in Agile, DevOps methodology, CI/ CD, familiarity with leading DevOps tools
• Experience in designing, architecting & implementing multi-million dollar complex data engineering and/or data warehousing projects
• Deep knowledge of cloud data solutions across one of Azure, GCP, Snowflake
• Experience in data migration from on-prem to cloud data platform
• Experience with big data app dev and/ or with cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, Azure SQL DW, BigQuery, dbT, Airflow, Dagster)
• Knowledge of relational and MPP data platforms such as Netezza, Teradata
• Experience in designing and deploying end to end solutions with a cloud platform s analytics services including storage, permissions, private cloud, database services, virtual machines, and parallel processing technologies
• Hands on experience in implementing data visualization tools such as Tableau, Power BI

Soft skills:

• Ability to deal with ambiguity, able to come out with solution by bringing in clarity & with quality assumptions, adapt and deliver results in unstructured situations
• Take ownership for outcomes; produce high quality work product within deadlines
• Excellent communication and presentation skills; able to elevate technical discussions to business value for senior internal & external stakeholders
• Strong learning orientation; stay abreast of the latest in industry and technology
• Strong team player, able to liaise with diverse set of internal/ external stakeholders

Skills & ExperienceBig Data Technologies, Data Engineering, Data Pipelines,

Keyskills :
pythonsqldata warehousingprivate clouddigital salesenvironmental impact assessmentinformaticajavadata migrationend to end solutions