Data Architect

2 months ago

Chennai, India CES Full time

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth. You can learn more about us at:


Job Role :

CES is looking for Data Architect to drive the future state technology architecture, analyze and evaluate the technology, help to raise the level of data literacy with our customers, and lead and collaborate with the customer and delivery team to deliver business values.

Interpersonal Skills and Characteristics.



Primary / Basic Expectation:

Skills:

Data Integration -8+ years

DBMS -4+ years

Data Models -4+ years


Nice to Have:

Skills

ADF -4+ years

Azure Synapse -4+ years


Requirements:

  • Formulate and execute a comprehensive data strategy aligned with organizational goals and objectives.
  • Collaborate with stakeholders to understand business requirements and translate them into data solutions.
  • Design and implement efficient, scalable, and secure data architectures. Develop and maintain data models for databases, data warehouses, and other data storage systems. Implement data integration solutions to facilitate seamless flow of information across systems. Enforce data governance policies and procedures.
  • Collaborate with cross-functional teams including developers, analysts, and business stakeholders.
  • Stay abreast of emerging technologies and trends in data management.
  • Lead and manage a multidisciplinary team of Data Analysts, Data Integration/Support and Data Engineers of team size 40+.
  • Develop and articulate a strategic vision for the data analytics practice aligned with organizational goals.
  • Define and monitor key performance metrics to assess the effectiveness and impact of the practice.
  • Provide opportunities for professional development and training to enhance the skills and knowledge of team members.
  • Collaborate with other departments, such as Recruitment, HR, IT, Finance, PMO, Sales and Marketing, to integrate data analytics into broader organizational strategies.
  • Encourage a culture of knowledge sharing, both within the team and across the organization.
  • Proven experience (12+ years) in designing and implementing conceptual, logical, and physical data models.(Tools like dbdiagram, visio, drowIO).
  • Strong knowledge of various database management systems (DBMS) both in Cloud/On-prem, such as Oracle, SQL Server, MySQL, etc.
  • Experience in developing and implementing data integration solutions. (ETL – ADF, Azure Synapse, Glue or similar).
  • Understanding of data security principles, data protection regulations, industry compliance standards and experience implementing security measures.
  • Experience in ensuring data quality, data governance principles and implementing data quality management processes.
  • Understanding of machine learning and artificial intelligence concepts in relation to data architecture.
  • Knowledge of industry-specific data models and requirements (e.g., healthcare, finance, e-commerce).
  • Commitment to staying updated on the latest advancements in data analytics tools, techniques, and industry best practices.
  • Understanding of financial management, budgeting, and forecasting related to data analytics projects and practice operations.
  • Qualifications.
  • Relevant certifications in data analytics/soft skills are a big plus.

Why CES?

  • Flexible working hours to create a work-life balance.
  • Opportunity to work on advanced tools and technologies.
  • Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
  • Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
  • Periodical and on-spot rewards and recognitions on your performance.
  • Provides a better platform for enhancing skills via many different L&D programs.
  • Enabling and empowering atmosphere to work along.

Benefits:

  • Additional recognitions on your Birthday's and Service Anniversaries.
  • Amazing health coverage policy for employees and their family.
  • Various outdoor tournaments for sports enthusiasts.
  • Regular team engagement plans.
  • “Bring your buddy to work with you” - An employee referral program.
  • Distinct categories of incentives at different levels.
  • Growth-oriented opportunities for every individual's career.

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