Azure Data Architect

Full Time, onsite
Hexaware Technologies, Inc
On Site HybridHybrid model, United States of America

Salary undisclosed

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What Working at Hexaware Offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance.

Role: Azure Data Architect

Location: Reston, VA

Duration: Full-time

Mode of work: Hybrid

Technical skills:

10+ years of experience delivering data and data exchange solutions
10+ years of experience with OLTP and OLAP database models
Azure expertise in end to end (application database design + ETL /pipeline + Visualization Reporting) leveraging Azure technologies such as Azure Data Factory (ADF), Azure Synapse, Azure Purview, MS Power BI, Azure DevOps (ADO) etc. is a MUST HAVE
Must be knowledgeable in software development lifecycles/methodologies i.e., agile
Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
Business intuition: Connect with stakeholders to gain a full understanding of the problems they are looking to solve.
Analytical thinking. Find analytical solutions to abstract business issues.
Critical thinking: Apply objective analysis of facts before concluding.
Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
Has strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation
Strong problem solving, time management and organizational skills
Database Technology: SQL Server, Netezza, Hadoop, Cloudera
ETL Technology: SSIS, DataStage, Talend, CRON scripting, Perl
Cloud SaaS: Snowflake, Databricks, Matillion, HVR, etc.
Familiarity in Data Engineering tools, data ops tools in On-prem and Cloud eco system.
Good to have certifications in Togaf/PMP/CSM
PBM / Healthcare industry experience is a plus
Understands 3rd party or industry standard file formats (EDI, HL7, NCPDP, etc.)

Responsibilities:

Responsible for developing effective data architecture solutions (Conceptual, Logical, Physical) that not only satisfy immediate project requirements but also deliver a coherent, reusable, reliable, and phased architecture to help the business grow and change, while developing a long-term data utilization plan for the company's IT systems and helps architectures through phasing and cost-benefit analysis
Good experience on presales like managing RFI/RFP/proactive pitch/etc. for large data modernization programs
Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, scalability)
Act as a Subject Matter Expert to the organization for cloud/On-prem end-to-end architecture, should have basic conceptual knowledge of all Cloud platforms like AWS, Google Cloud Platform, Azure and future providers, networking, provisioning, and management
Communicate and provide thought leadership in Data strategy, technologies, engineering to business and IT leadership teams and stakeholders.
Providing a vital function bridging the gap between business and technology. In partnership with Product Owner(s), Stakeholders and other Subject Matter Experts, and work with technologies such as Cloud data warehousing, Data lakes, Analytical platforms and solutions. Should be able to define modern data eco system, considering current and futuristic data needs
Provide advice on technical aspects of development and integration, including the operational and maintenance aspects of systems under development, and proposed system recovery procedures.
Recommend and ensure that relevant technical strategies, policies, standards, practices, data standards, guidelines, and procedures for design and maintenance are applied correctly
Support the clients enterprise team to respond positively to proposed data initiatives, arising from the Information Governance Group, and provide the necessary support and expertise to deliver such initiatives
Provide ongoing support and implementation of change for hydration of data from existing / current systems to future data model
Apply enterprise data management practices and principles in ways of working and create optimized, reusable semantic model, complete with metadata and lineage information.
Identify data quality issues through data profiling, analysis and stakeholder engagement
Analyze data to provide insights for internal and external stakeholders on improving the performance
Considers volume, velocity, variety, veracity, performance, exception handling and other factors in the data pipeline

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

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